association rules mining for ais based classification



Kanhaiya Lal Semantic Web Based Data Cloud Kanhaiya Lal Semantic Web Based Data Cloud Новинка

Kanhaiya Lal Semantic Web Based Data Cloud

Data mining is a treatment process to extract useful and interesting knowledge from large amount of data. The knowledge modes data mining discovered have a variety of different types. The common patterns are: association mode, classification model, class model, sequence pattern and so on. Mining association rules is one of the most important aspects in data mining. Association rules are dependency rules which predict occurrence of an item based on occurrences of other items. The process of building the Semantic Web is currently an area of high activity. Its structure has to be defined, and this structure then has to be filled with life. Cloud computing is a highly touted recent phenomenon. The cloud may move data or computation to improve responsiveness. Some clouds monitor their offerings for malicious activity Visualization. Hardware resources in clouds are usually Virtual; they are shared by multiple users to improve efficiency. This book deals technique of association rules mining in semantic web based data cloud. KEY FEATURES: Explains the basic knowledge of cloud computing, Data & web mining. Provides Concept of Association rules & Algorithm for mining Association Rules.
Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management Новинка

Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management

3769.68 руб. или Купить в рассрочку!
Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis
Giudici Paolo Applied Data Mining for Business and Industry Giudici Paolo Applied Data Mining for Business and Industry Новинка

Giudici Paolo Applied Data Mining for Business and Industry

13947.82 руб. или Купить в рассрочку!
The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.
Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data Новинка

Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data

13965.99 руб. или Купить в рассрочку!
The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data—and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)—providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing—also known as data mining—and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.
Daniel Larose T. Data Mining and Predictive Analytics Daniel Larose T. Data Mining and Predictive Analytics Новинка

Daniel Larose T. Data Mining and Predictive Analytics

10455.72 руб. или Купить в рассрочку!
Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics, Second Edition: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant.com, with exclusive password-protected instructor content Data Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.
Stéphane Tufféry Data Mining and Statistics for Decision Making Stéphane Tufféry Data Mining and Statistics for Decision Making Новинка

Stéphane Tufféry Data Mining and Statistics for Decision Making

7761.77 руб. или Купить в рассрочку!
Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.
Pawel Cichosz Data Mining Algorithms. Explained Using R Pawel Cichosz Data Mining Algorithms. Explained Using R Новинка

Pawel Cichosz Data Mining Algorithms. Explained Using R

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.
Ying Tan Artificial Immune System. Applications in Computer Security Ying Tan Artificial Immune System. Applications in Computer Security Новинка

Ying Tan Artificial Immune System. Applications in Computer Security

This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, China Includes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issues Presents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)
Victor Rudenno The Mining Valuation Handbook. Mining and Energy Valuation for Investors and Management Victor Rudenno The Mining Valuation Handbook. Mining and Energy Valuation for Investors and Management Новинка

Victor Rudenno The Mining Valuation Handbook. Mining and Energy Valuation for Investors and Management

10555.1 руб. или Купить в рассрочку!
The essential guide to investing in mining opportunities, now in its Fourth Edition A comprehensive guide to mining investment analysis designed for use by financial and mining analysts, executives, and investors, The Mining Valuation Handbook: Mining and Energy Valuation for Investors and Management has become an essential resource for assessing the value and investment potential of mining opportunities. Fully revised and updated, this fourth edition of the classic text provides new and up-to-date information to better explain the mysteries surrounding the resources industry. Written by Victor Rudenno, a leading global expert on mining investment analysis and consultant to mining companies, financial bodies, and governments, The Mining Valuation Handbook: Mining and Energy Valuation for Investors and Management, Fourth Edition covers a wide range of essential topics, including: feasibility studies, commodity values and forecasting, classification of resources and reserves, indicative capital and operating costs, valuation and pricing techniques, qualifying risk, the impact of exploration and expansion, and more. Fourth edition of the bestselling text on assessing mining investment opportunities Author Victor Rudenno is a respected global expert on mining investment analysis Key topics, including feasibility studies, valuation techniques, and risk qualification are covered in detail Packed with invaluable mining information for the financial industry and financial information for the mining industry, The Mining Valuation Handbook is the definitive guide to assessing and investing in mining opportunities.
Genussov Michal Transcription and classification of music Genussov Michal Transcription and classification of music Новинка

Genussov Michal Transcription and classification of music

Transcription of music and classification of audio and speech data are two important tasks in audio signal processing. Transcription of polyphonic music involves identifying the fundamental frequencies (pitches) of several notes played at a time. Its difficulty stems from the fact that harmonics of different tones tend to overlap, especially in western music. In this thesis, we introduce transcription and classification methods which are based on representation of the data in a meaningful manner. For transcription of polyphonic music we present an algorithm based on sparse representations in a structured dictionary, suitable for the spectra of music signals. For classification of audio data we propose to integrate into traditional classification methods a non-linear manifold learning technique, namely "diffusion maps". Finally, we examine empirically the performances of the proposed solutions.
Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management Новинка

Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised— is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.
Yan Zhao Interactive Data Mining Yan Zhao Interactive Data Mining Новинка

Yan Zhao Interactive Data Mining

Yan Zhao's book, entitled "Interactive Data Mining" provides a con­ceptual framework and a systematic study of human-computer inter­actions and collaborations for effective data mining. The thesis is based on an assumption that the effectiveness of data mining systems depends crucially on semantics information about data and different user requirements. In contrast to many data mining models that con­centrate on automation and efficiency, interactive data mining sys­tems focus on adaptive and effective communication between human users and computer systems. Interactive systems fully explore the power of human intuition, creativity, heuristics and strategies with supports from computers. The thesis is well-balanced between theo­retical investigation and experimental evaluations. A user-oriented three-layered conceptual model is proposed. Within the framework, user perceptions and requirements are studied formally at the philo­sophical, technique and the application layers. The separation of the three layers leads to many new insights into data mining. Based on the conceptual framework, a prototype of Interactive Classification System (ICS) has been implemented.
RULES & REGULATIONS FOR THE CONSTRUCTION AND CLASSIFICATION OF STEEL VESSELS 1862 - 1969 RULES & REGULATIONS FOR THE CONSTRUCTION AND CLASSIFICATION OF STEEL VESSELS 1862 - 1969 Новинка

RULES & REGULATIONS FOR THE CONSTRUCTION AND CLASSIFICATION OF STEEL VESSELS 1862 - 1969

Издание на английском языке. New York. 1969. American Bureau of Shipping., 1969. Yearly edition. (2), XXX, (2), 537 PP (one of them folded) with numerous figures and tables including 7 tables "Scantlings / Equipments" . Cloth cover, gilt device on front board, gilt title "Rules for Building and Classing Steel Vessels 1969" on front board and spine.
Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies Новинка

Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies

8519.48 руб. или Купить в рассрочку!
This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic microarray data. Among those, the book focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described.
Jesse Pines M. Evidence-Based Emergency Care. Diagnostic Testing and Clinical Decision Rules Jesse Pines M. Evidence-Based Emergency Care. Diagnostic Testing and Clinical Decision Rules Новинка

Jesse Pines M. Evidence-Based Emergency Care. Diagnostic Testing and Clinical Decision Rules

7689.45 руб. или Купить в рассрочку!
This book for emergency physicians and fellows training in emergency medicine provides evidence-based information on what diagnostic tests to ask for and when and how to use particular decision rules. The new edition builds on the success of the current book by modifying the presentation of the evidence, increasing the coverage, and updating the current information throughout.
Centers for Medicare & Medicaid S (CMS), The National Center for Health S (NCHS) ICD-10-CM Official Guidelines for Coding and Reporting - FY 2016 Centers for Medicare & Medicaid S (CMS), The National Center for Health S (NCHS) ICD-10-CM Official Guidelines for Coding and Reporting - FY 2016 Новинка

Centers for Medicare & Medicaid S (CMS), The National Center for Health S (NCHS) ICD-10-CM Official Guidelines for Coding and Reporting - FY 2016

The Centers for Medicare and Medicaid Services (CMS) and the National Center for Health Statistics (NCHS), two departments within the U.S. Federal Government's Department of Health and Human Services (DHHS) provide the following guidelines for coding and reporting using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM). These guidelines should be used as a companion document to the official version of the ICD-10- CM as published on the NCHS website. The ICD-10-CM is a morbidity classification published by the United States for classifying diagnoses and reason for visits in all health care settings. The ICD-10-CM is based on the ICD-10, the statistical classification of disease published by the World Health Organization (WHO).These guidelines have been approved by the four organizations that make up the Cooperating Parties for the ICD-10-CM: the American Hospital Association (AHA), the American Health Information Management Association (AHIMA), CMS, and NCHS.
Department of Health and Human Services, National Center for Health Stati (NCHS), Centers for (CMS) ICD-10-CM Official Guidelines for Coding and Reporting - FY 2017 Department of Health and Human Services, National Center for Health Stati (NCHS), Centers for (CMS) ICD-10-CM Official Guidelines for Coding and Reporting - FY 2017 Новинка

Department of Health and Human Services, National Center for Health Stati (NCHS), Centers for (CMS) ICD-10-CM Official Guidelines for Coding and Reporting - FY 2017

The Centers for Medicare and Medicaid Services (CMS) and the National Center for Health Statistics (NCHS), two departments within the U.S. Federal Government's Department of Health and Human Services (DHHS) provide the following guidelines for coding and reporting using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM). These guidelines should be used as a companion document to the official version of the ICD-10-CM as published on the NCHS website. The ICD-10-CM is a morbidity classification published by the United States for classifying diagnoses and reason for visits in all health care settings. The ICD-10-CM is based on the ICD-10, the statistical classification of disease published by the World Health Organization (WHO). These guidelines have been approved by the four organizations that make up the Cooperating Parties for the ICD-10-CM: the American Hospital Association (AHA), the American Health Information Management Association (AHIMA), CMS, and NCHS.
Holstein-Friesian Association of America Outlines of the advanced registry system of the Holstein-Friesian Association of America. Rules for officially authenticated butter tests and rules for for students of agricultural schools Holstein-Friesian Association of America Outlines of the advanced registry system of the Holstein-Friesian Association of America. Rules for officially authenticated butter tests and rules for for students of agricultural schools Новинка

Holstein-Friesian Association of America Outlines of the advanced registry system of the Holstein-Friesian Association of America. Rules for officially authenticated butter tests and rules for for students of agricultural schools

Эта книга — репринт оригинального издания, созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.
Classification of accounts for canners who manufacture two or more lines of canned goods or operate two or more factories. Classification A, proof . National canners association, Washington, D.C Classification of accounts for canners who manufacture two or more lines of canned goods or operate two or more factories. Classification A, proof . National canners association, Washington, D.C Новинка

Classification of accounts for canners who manufacture two or more lines of canned goods or operate two or more factories. Classification A, proof . National canners association, Washington, D.C

Эта книга — репринт оригинального издания, созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.
Classification of Accounts for Canners Who Manufacture Two Or More Lines of Canned Goods Or Operate Two Or More Factories: Classification A, Proof . the National Canners Association, Washington Classification of Accounts for Canners Who Manufacture Two Or More Lines of Canned Goods Or Operate Two Or More Factories: Classification A, Proof . the National Canners Association, Washington Новинка

Classification of Accounts for Canners Who Manufacture Two Or More Lines of Canned Goods Or Operate Two Or More Factories: Classification A, Proof . the National Canners Association, Washington

Эта книга — репринт оригинального издания, созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.
Gaussier Eric Textual Information Access. Statistical Models Gaussier Eric Textual Information Access. Statistical Models Новинка

Gaussier Eric Textual Information Access. Statistical Models

14475.57 руб. или Купить в рассрочку!
This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access: – information extraction and retrieval; – text classification and clustering; – opinion mining; – comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model on real collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering (regression logistics, kernel methods, Markov fields, etc.), multilingualism and machine translation, and emerging applications such as information exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stéphane Clinchant and Eric Gaussier. 2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari,
Tuong Vinh Truong and Nicolas Usunier. Part 2: Classification and Clustering 3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis,
Michel Burlet and Yves Denneulin. 4. Kernel Methods for Textual Information Access, Jean-Michel Renders. 5. Topic-Based Generative Models for Text Information Access, Jean-Cédric Chappelier. 6. Conditional Random Fields for Information Extraction, Isabelle Tellier and Marc Tommasi. Part 3: Multilingualism 7. Statistical Methods for Machine Translation, Alexandre Allauzen and François Yvon. Part 4: Emerging Applications 8. Information Mining: Methods and Interfaces for Accessing Complex Information, Josiane Mothe, Kurt Englmeier and Fionn Murtagh. 9. Opinion Detection as a Topic Classification Problem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Patrice Bellot and
Fréderic Béchet.
Bhattrai Premlal Membership Card Generation Based on Clustering and Optimization Models Bhattrai Premlal Membership Card Generation Based on Clustering and Optimization Models Новинка

Bhattrai Premlal Membership Card Generation Based on Clustering and Optimization Models

The research aimed to develop a methodological approach for clustering of customers based on their characteristics in order to define membership cards based on mathematical optimization in a hypermarket.Data mining as a technique is used to find interesting and valuable knowledge from huge amount of stored data within databases. We employed hierarchical and fuzzy clustering method in data selection preprocessing step for customer segmentation. Further, a methodological approach for clustering of customers based on their characteristics in order to define membership cards based on mathematical optimization is devised in this research. This study provides a basis for generating customer membership cards in a hypermarket by way of data mining techniques. Fuzzy clustering method helps to cluster similar customer information into groups. The resulting clusters are then used for optimization model in order to generate membership cards.
Christian Wittekind TNM Atlas Christian Wittekind TNM Atlas Новинка

Christian Wittekind TNM Atlas

8514.23 руб. или Купить в рассрочку!
The complete, authoritative TNM cancer classification and staging system—now illustrated with new, full-colour figures for fast, effective, anatomical referencing Referring to “Tumour,” “Node,” and “Metastasis,” the TNM system is the most widely used means for classifying and staging the extent of cancer spread. Published in affiliation with the Union for International Cancer Control (UICC), TNM Atlas, Sixth Edition presents the illustrated version of the TNM Classification of Malignant Tumours, Seventh Edition, promoting the uniform application of the TNM classification in cancer practice. Utilizing beautiful, full-colour medical artwork—illustrating the T and N categories in clear, easily understood graphics—this book aides in the practical application of the TNM classification system. It enables all disciplines involved in cancer classification, staging, and treatment to reach a more standardized understanding and documentation of the anatomical spread of tumours, and further enhances the dissemination and use of the TNM classification. The TNM Atlas, Sixth Edition: • Is based upon the very latest TNM Classification data available in TNM Classification of Malignant Tumours, Seventh Edition • Features over 500 full-colour figures that clearly illustrate and highlight anatomical sites of cancer involvement • Makes TNM classification even more clinically applicable in the day-to-day environment • Is an extremely useful tool for clinical reference, teaching, discussion, and patient education Based in Geneva, the UICC is one of the most widely affiliated cancer organisations in the world, with its core mission being cancer classification and control. Its TNM Atlas, Sixth Edition is a valuable reference for all medical, surgical, and radiation oncologists, anatomical and surgical pathologists, cancer registrars, oncology nurses and physician extenders, international cancer care centres, and governmental and NGOs dedicated to cancer control. This title is also available as a mobile App from MedHand Mobile Libraries. Buy it now from Google Play.
Carsten Gottschlich Oracle 10g Rules Manager - Evaluation of the Oracle 10g Rules Manager for a Domain Node Architecture in the Semantic Web ECA Framework Carsten Gottschlich Oracle 10g Rules Manager - Evaluation of the Oracle 10g Rules Manager for a Domain Node Architecture in the Semantic Web ECA Framework Новинка

Carsten Gottschlich Oracle 10g Rules Manager - Evaluation of the Oracle 10g Rules Manager for a Domain Node Architecture in the Semantic Web ECA Framework

A major challenge of the nascent Semantic Web is the multitude of data formats, languages, schemas and ontologies. "A General Framework for Evolution and Reactivity in the Semantic Web" was designed for bridging the gap torn apart by the heterogeneity. This framework is based on Event-Condition-Action (ECA) rules. With the release of version 10g Oracle has enhanced its database software by adding a Rules Manager package that allows the user to define and manage ECA rules. In this book, the features of the Oracle Rules Manager are examined and it is analysed how and to what extent the Rules Manager can function as a domain node in the ECA Framework for the Semantic Web.
Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications with JMP Pro Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications with JMP Pro Новинка

Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications with JMP Pro

10083.01 руб. или Купить в рассрочку!
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® presents an applied and interactive approach to data mining. Featuring hands-on applications with JMP Pro®, a statistical package from the SAS Institute, the book uses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction. Topics include data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting. Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® also includes: Detailed summaries that supply an outline of key topics at the beginning of each chapter End-of-chapter examples and exercises that allow readers to expand their comprehension of the presented material Data-rich case studies to illustrate various applications of data mining techniques A companion website with over two dozen data sets, exercises and case study solutions, and slides for instructors Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® is an excellent textbook for advanced undergraduate and graduate-level courses on data mining, predictive analytics, and business analytics. The book is also a one-of-a-kind resource for data scientists, analysts, researchers, and practitioners working with analytics in the fields of management, finance, marketing, information technology, healthcare, education, and any other data-rich field. Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks, and book chapters, including Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition, also published by Wiley. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective and co-author of Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner ®, Third Edition, both published by Wiley. Mia Stephens is Academic Ambassador at JMP®, a division of SAS Institute. Prior to joining SAS, she was an adjunct professor of statistics at the University of New Hampshire and a founding member of the North Haven Group LLC, a statistical training and consulting company. She is the co-author of three other books, including Visual Six Sigma: Making Data Analysis Lean, Second Edition, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad, for 15 years. He is co-author of Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition, also published by Wiley.
Washington health rules, a commentary on the twelve health rules formulated and distributed by the Association for the Prevention of Tuberculosis of . the essentials of hygiene and adapted for Washington health rules, a commentary on the twelve health rules formulated and distributed by the Association for the Prevention of Tuberculosis of . the essentials of hygiene and adapted for Новинка

Washington health rules, a commentary on the twelve health rules formulated and distributed by the Association for the Prevention of Tuberculosis of . the essentials of hygiene and adapted for

Эта книга — репринт оригинального издания, созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.
English and Canadian Mining Memorandum and articles of association of the English . Canadian Mining Company (Limited) microform English and Canadian Mining Memorandum and articles of association of the English . Canadian Mining Company (Limited) microform Новинка

English and Canadian Mining Memorandum and articles of association of the English . Canadian Mining Company (Limited) microform

Эта книга — репринт оригинального издания (издательство "[London? : s.n.]", 1858 год), созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.Memorandum and articles of association of the English & Canadian Mining Company (Limited) microform. And certificate of incorporation under the Joint Stock Companies' Acts, 1856, 1857.
Jagdish Chandra Patni, Ravi Tomar, Hitesh Kumar Sharma Data Mining to Business Analytics. Finance, Budgeting and Investments Jagdish Chandra Patni, Ravi Tomar, Hitesh Kumar Sharma Data Mining to Business Analytics. Finance, Budgeting and Investments Новинка

Jagdish Chandra Patni, Ravi Tomar, Hitesh Kumar Sharma Data Mining to Business Analytics. Finance, Budgeting and Investments

Academic Paper from the year 2017 in the subject Computer Science - General, grade: 5, University of Petroleum and Energy Studies, language: English, abstract: This paper utilizes the distinctive mining techniques as an answer for business needs. It presents Finance, Budgeting and Investments as the principle working ground for the data mining algorithms actualized.With the increment of monetary globalization and development of information technology, financial data are being produced and gathered at an extraordinary pace. Thus, there has been a basic requirement for automated ways to deal with compelling and proficient usage of gigantic measure of data to support companies and people in doing the Business.Data mining is turning out to be strategically imperative region for some business associations including financial sector. Data mining helps the companies to search for hidden example in a gathering and find obscure relationship in the data. Financial Analysis alludes to the assessment of a business to manage the arranging, budgeting, observing, forecasting, and enhancing of every financial point of interest inside of an association. The task concentrates on comprehension the association's financial health as a major part of reacting to today's inexorably stringent financial reporting prerequisites. It exhibits the capacity of the data mining to robotize the procedure of looking the boundless customer's connected data to discover patterns that are great indicat...
Martin Ruppert Contributions to Static and Time-varying Copula-based Modeling of Multivariate Association Martin Ruppert Contributions to Static and Time-varying Copula-based Modeling of Multivariate Association Новинка

Martin Ruppert Contributions to Static and Time-varying Copula-based Modeling of Multivariate Association

Putting a particular emphasis on nonparametric methods that rely on modern empirical process techniques, the author contributes to the theory of static and time-varying stochastic models for multivariate association based on the concept of copulas. These functions enable a profound understanding of multivariate association, which is pivotal for judging whether a large set of risky assets entails diversification effects or aggravates risk from an entrepreneurial point of view. Since serial dependence is a stylized fact of financial time series, an asymptotic theory for estimating the structure of association in this context is developed under weak assumptions. A new measure of multivariate association, based on a notion of distance to stochastic independence, is introduced. Asymptotic results as well as hypothesis tests are established which are directly applicable to important types of multivariate financial time series. To ensure that risk management properly captures the current structure of association, it is crucial to assess the constancy of the structure. Therefore, nonparametric tests for a constant copula with either a specified or unspecified change point (candidate) are derived. The thesis concludes with a study of characterizations of association between non-continuous random variables.
Providence Athletic Association Charter constitution, by-laws and house rules of the Providence athletic association Providence Athletic Association Charter constitution, by-laws and house rules of the Providence athletic association Новинка

Providence Athletic Association Charter constitution, by-laws and house rules of the Providence athletic association

Эта книга — репринт оригинального издания (издательство "[Providence, R.I., Livermore & Knight co.]", 1896 год), созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.Charter, constitution, by-laws and house rules of the Providence athletic association
Clarisse Dhaenens Metaheuristics for Big Data Clarisse Dhaenens Metaheuristics for Big Data Новинка

Clarisse Dhaenens Metaheuristics for Big Data

Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires complex analysis. Here the authors propose using metaheuristics as a solution to these challenges; they are first able to deal with large size problems and secondly flexible and therefore easily adaptable to different types of data and different contexts. The use of metaheuristics to overcome some of these data mining challenges is introduced and justified in the first part of the book, alongside a specific protocol for the performance evaluation of algorithms. An introduction to metaheuristics follows. The second part of the book details a number of data mining tasks, including clustering, association rules, supervised classification and feature selection, before explaining how metaheuristics can be used to deal with them. This book is designed to be self-contained, so that readers can understand all of the concepts discussed within it, and to provide an overview of recent applications of metaheuristics to knowledge discovery problems in the context of Big Data.
Garmin AIS 600 Garmin AIS 600 Новинка

Garmin AIS 600

«С прибором AIS 600 на борту можно расслабиться – устройство информирует Вас о ситуации вокруг судна, а также передает другим судам свои координаты во время навигации по оживленным маршрутам». Модель AIS 600 принимает одновременно сигналы Класса A и Класса B, чтобы не пропала никакая важная информация. Кроме того, прибор AIS 600 включает уникальный встроенный активный сплиттер с технологией ClearTrack™, устраняющий необходимость в двух антеннах VHF. Это обеспечивает больше свободного пространства и упрощает процедуру установки, поскольку не требуется дополнительного оборудования. Активный сплиттер гарантирует, что все данные VHF и AIS передаются и принимаются с минимальной потерей сигнала или помехами. Технология ClearTrack гарантирует непрерывность приема данных AIS даже во время использования радиостанции VHF. Компания Garmin первой использовала уникальную технологию ClearTrack на рынке AIS. Местоположение целей AIS можно просматривать на экране электронного картплоттера. Новый приемопередатчик AIS 600 совместим с NMEA 0183 и NMEA 2000, что обеспечивает простую интеграцию этого оборудования в Вашу бортовую морскую сеть. После установки AIS 600 выдает подробную информацию, включая идентификацию, местоположение, курс и скорость судов, оборудованных передатчиком AIS и находящихся в пределах определенного диапазона, а также одновременно передает информацию о Вашем судне другим судам. Предусмотрен режим Silent Running (дословно – «молчаливая работа»), в котором устройство не передает местоположение Вашего судна. Когда устройство AIS 600 подключено к картплоттеру Garmin и радиостанции VHF через сеть NMEA 2000, вызов DSC может быть направлен из картплоттера непосредственно любой цели AIS путем выбора функции “call with radio” (вызов по радио). При активизации цели AIS от местоположения этой цели будет нарисована линия направления движения, а также графически показано направление и скорость поворота. Функции и характеристики Помощь в навигации и защите от столкновений Сертификат NMEA 2000 для простой установки Встроенный активный сплиттер позволяет одной VHF антенне служить для AIS 600 и любой радиостанции VHF. За счет этого пользователи получают больше свободного пространства, и для процедуры установки не требуется дополнительный крепеж. Встроенный активный сплиттер гарантирует, что все сигналы VHF и AIS передаются и принимаются с минимальной потерей сигнала или помехами Технология ClearTrack гарантирует отсутствие помех при приеме местоположения целей AIS даже во время использования радиостанции VHF Просмотр информации о целях AIS прямо на дисплее картплоттера (наложение целей AIS, сохранение номера MMSI, состояния судна и т.д.) При соединении с картплоттером Garmin и радиостанцией VHF через интерфейс NMEA 2000 возможна посылка вызова на любую цель с номером MMSI прямо с картплоттера путем выбора функции передачи вызова в...
Rai Shalu, Ranjan Vikash, Chhibber Needhika Relationship of Impacted third molar with Inferior Alveolar Nerve Rai Shalu, Ranjan Vikash, Chhibber Needhika Relationship of Impacted third molar with Inferior Alveolar Nerve Новинка

Rai Shalu, Ranjan Vikash, Chhibber Needhika Relationship of Impacted third molar with Inferior Alveolar Nerve

This study aimed to evaluate more deeply the association between impacted lower third molar and inferior alveolar canal based on radiographic signals suggesting proximity of structures and the PG, Winter and Alling and Alling classification, to increase the information that will be gather from panoramic radiograph. All the impacted mandibular third molar included in this study were evaluated for type of angulation, depth of impaction, available space and relation of their root with inferior alveolar canal on the basis of panoramic radiographic presentation.
Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery Новинка

Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery

12062.98 руб. или Купить в рассрочку!
Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.
Esteban Alfaro Ensemble Classification Methods with Applications in R Esteban Alfaro Ensemble Classification Methods with Applications in R Новинка

Esteban Alfaro Ensemble Classification Methods with Applications in R

An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Applications in R introduces the concepts and principles of ensemble classifiers methods and includes a review of the most commonly used techniques. This important resource shows how ensemble classification has become an extension of the individual classifiers. The text puts the emphasis on two areas of machine learning: classification trees and ensemble learning. The authors explore ensemble classification methods’ basic characteristics and explain the types of problems that can emerge in its application. Written by a team of noted experts in the field, the text is divided into two main sections. The first section outlines the theoretical underpinnings of the topic and the second section is designed to include examples of practical applications. The book contains a wealth of illustrative cases of business failure prediction, zoology, ecology and others. This vital guide: Offers an important text that has been tested both in the classroom and at tutorials at conferences Contains authoritative information written by leading experts in the field Presents a comprehensive text that can be applied to courses in machine learning, data mining and artificial intelligence Combines in one volume two of the most intriguing topics in machine learning: ensemble learning and classification trees Written for researchers from many fields such as biostatistics, economics, environment, zoology, as well as students of data mining and machine learning, Ensemble Classification Methods with Applications in R puts the focus on two topics in machine learning: classification trees and ensemble learning.
Rob Russell Disaster Rules Rob Russell Disaster Rules Новинка

Rob Russell Disaster Rules

3729.93 руб. или Купить в рассрочку!
The 80 rules you need to prepare for action in a medical disaster Here are 80 disaster management rules to reflect on, remember and follow in the immediate aftermath of an incident involving mass casualties. Each rule is a single-page long, providing the essential information to inform the most common critical decisions you will have to make in either a civilian or military environment. Written by clinicians with deep clinical and operational experience, these rules are concise evidence-based guidelines for all medical personnel dealing with disasters at the scene or in hospital. Based on the Major Incident Medical Management and Support system widely adopted in the UK, mainland Europe, Australasia and NATO, they are both authoritative and effective.
Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications Новинка

Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications

9261.06 руб. или Купить в рассрочку!
Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book
Jonathan Vita General theory of anti-avoidance rules Jonathan Vita General theory of anti-avoidance rules Новинка

Jonathan Vita General theory of anti-avoidance rules

First place, in this work the way of scientific investigation is cleared, based always in a plural scientific approach with a strong link to systematic and integrative methods towards various species of science. The first chapter deals with the clarification of the general premises of the work, based on law as a linguistic phenomenon, studied by Language Theories, Law Logics (aggregated on logic-semantic constructivism) and Niklas Luhmann's System's Theory. In the second chapter, avoidance and anti-avoidance rules are shown as general structures of law, in the lights of legal unity and System's Theory. The third chapter deals with the fractal and asymmetric classification of the anti-avoidance rules, adding an example of these rules outside the tax realm. The fourth chapter deals with the specificities of this new approach of the anti-avoidance tax rules and its developments and effects, analyzing also the differences to tax planning and tax evasion. The fifth and last chapter deals with anti-avoidance (especially its criteria) in different legal systems, such as in Brazil, Italy, USA and in international tax law, including the treaties to avoid double taxation and EC law.
Enrico Seib Data Mining - Methoden in der Simulation Enrico Seib Data Mining - Methoden in der Simulation Новинка

Enrico Seib Data Mining - Methoden in der Simulation

Bachelorarbeit aus dem Jahr 2008 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,0, Universität Rostock (Institut für Informatik, Lehrstuhl für Modellierung und Simulation), 100 Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: Principles and methods of data mining are a widespread area, i.e. retail dealer use data mining tools to analyze the behavior of customers, computer hardware supplier use data mining to optimize their inventory. There are multiple possibilities of using data mining techniques, even in technical and scientific areas of applications. In regard of manyfold fields of application, there are no less than the number of techniques and methods for Data Mining in existence. Another field to apply Data Mining technique is the domain of simulation. Simulation is the computer-based approach of executing and experimenting of and with models. One aim of this thesis is to analyze data mining tools to see how capable they are solving data mining duties with respect to data calculated by simulation. Different data mining tools are analyzed, commercial tools like SPSS and SPSS Clementine as well as established and freely available tools like WEKA and the R-Project. These tools are analyzed in matters of their data mining functionalities, options to access different data sources, and their complexity of different data mining algorithms. Beyond the analysis of data mining tools with respect to functionality and simulation, envi-ronments for modeling a...
Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis Новинка

Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis

9574.99 руб. или Купить в рассрочку!
Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networks An introduction to complex networks—measures, statistical properties, and models Modeling for evolving biological networks The structure of an evolving random bipartite graph Density-based enumeration in structured data Hyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.
John Cox B. ASAE Handbook of Professional Practices in Association Management John Cox B. ASAE Handbook of Professional Practices in Association Management Новинка

John Cox B. ASAE Handbook of Professional Practices in Association Management

6871.04 руб. или Купить в рассрочку!
A new edition of one of the flagship books for CAE preparation The ASAE Handbook of Professional Practices in Association Management covers the core functions of association management at a high but practical level, making it a go-to resource for professionals who are leading and managing membership organizations and those preparing for the Certified Association Executive (CAE) credential. Now in its third edition, this core text in the ASAE association literature offers practical, experience-based insights, strategies, and techniques for managing every aspect of an association or membership organization. Organized into 35 chapters and presenting information based on experience and proven research into the skills and knowledge required for successfully managing an organization of any size, this book covers governance and structure, leadership processes, management and administration (including finance and human resources), internal and external relations, programs and services, and much more. This new edition incorporates increased emphasis on the c-level judgment required of Certified Association Executives and CEO-aspirants, as well as more comprehensive coverage of essential functions such as planning. Covers the range of functions essential to managing an association Serves as a flagship handbook for CAE prep and is one of only five designated «CAE Core Resources»; new edition is applicable to prep beginning with the May 2015 CAE exam Information is relevant and applicable to students and professionals alike Edited by the founding editor of Professional Practices in Association Management and a CAE instructor with more than 30 years of experience in preparing CAEs Put the experts to work for you with this essential resource—written by association professionals and experts with 300 years of cumulative experience!
New York yacht-racing association Constitution and By-Laws, Sailing Regulations, Rules and Time Allowances of the New York Yacht Racing Association New York yacht-racing association Constitution and By-Laws, Sailing Regulations, Rules and Time Allowances of the New York Yacht Racing Association Новинка

New York yacht-racing association Constitution and By-Laws, Sailing Regulations, Rules and Time Allowances of the New York Yacht Racing Association

Constitution and By-Laws, Sailing Regulations, Rules and Time Allowances of the New York Yacht Racing Association - Vol. 2 is an unchanged, high-quality reprint of the original edition of 1892.Hansebooks is editor of the literature on different topic areas such as research and science, travel and expeditions, cooking and nutrition, medicine, and other genres. As a publisher we focus on the preservation of historical literature. Many works of historical writers and scientists are available today as antiques only. Hansebooks newly publishes these books and contributes to the preservation of literature which has become rare and historical knowledge for the future.
Garmin AIS 300 Garmin AIS 300 Новинка

Garmin AIS 300

Более доступная по цене модель AIS 300 представляет собой приемник «только для прослушивания», который обеспечивает беспроводное наблюдение за соседними судами, оборудованными системами AIS и представляющими потенциальную опасность столкновения. Ведется прием сигналов Класса А и Класса В. Данные местоположения могут быть наложены на экран совместимого картплоттера по сетевому интерфейсу NMEA 2000.
Thomas D. Fitzgerald Application of tariffs between and from points in Western classification territory. Prepared under the direction of the Advisory Traffic Council of the American Commerce Association Thomas D. Fitzgerald Application of tariffs between and from points in Western classification territory. Prepared under the direction of the Advisory Traffic Council of the American Commerce Association Новинка

Thomas D. Fitzgerald Application of tariffs between and from points in Western classification territory. Prepared under the direction of the Advisory Traffic Council of the American Commerce Association

Эта книга — репринт оригинального издания (издательство "Chicago, American Commerce Association", 1916 год), созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.Application of tariffs between and from points in Western classification territory. Prepared under the direction of the Advisory Traffic Council of the American Commerce Association.
Шампунь для волос AIS Комплексный уход с экстрактом семян гуараны Шампунь для волос AIS Комплексный уход с экстрактом семян гуараны Новинка

Шампунь для волос AIS Комплексный уход с экстрактом семян гуараны

Содержит уникальный биоактивный комплекс пептидов и экстракт красного клевера, который предотвращает выпадение волос.Не содержит парабенов, красителей, этилового спирта, SLS и ALS.Не тестируется на животных.Подходит вегетарианцам.Халяльная косметика AIS создана на основе артезианской воды Северного Кавказа и одобрена Советом муфтиев России.
Шампунь для волос AIS Против перхоти с экстрактом можжевельника Шампунь для волос AIS Против перхоти с экстрактом можжевельника Новинка

Шампунь для волос AIS Против перхоти с экстрактом можжевельника

Содержит уникальный антибактериальный компонент климбазол, который эффективно борется с перхотью.Не содержит парабенов, красителей, этилового спирта, SLS и ALS. Не тестируется на животных.Подходит вегетарианцам.Халяльная косметика AIS создана на основе артезианской воды Северного Кавказа и одобрена Советом муфтиев России.
Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications in R Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications in R Новинка

Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications in R

10083.01 руб. или Купить в рассрочку!
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: • Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government • Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students • More than a dozen case studies demonstrating applications for the data mining techniques described • End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented • A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “ This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 publications including books. Peter C. Bruce is President and Founder of the Institute for Statistics Education at Statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective (Wiley) and co-author of Practical Statistics for Data Scientists: 50 Essential Concepts (O’Reilly). Inbal Yahav, PhD, is Professor at the Graduate School of Business Administration at Bar-Ilan University, Israel. She teaches courses in social network analysis, advanced research methods, and software quality assurance. Dr. Yahav received her PhD in Operations Research and Data Mining from the University of Maryland, College Park. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American St
Michigan Legal Publishing ltd. Texas Rules of Civil Procedure; 2018 Edition Michigan Legal Publishing ltd. Texas Rules of Civil Procedure; 2018 Edition Новинка

Michigan Legal Publishing ltd. Texas Rules of Civil Procedure; 2018 Edition

This edition of the Texas Rules of Civil Procedure is updated through January 1, 2018. This handy quick reference of the rules is perfect for the attorney or law student. Includes Rules 1 through 822. Part I - General Rules Part II - Rules of Practice in District and County Courts Part III - Rules of Procedure for The Courts of Appeals Part IV - Rules of Practice for The Supreme Court Part V - Rules of Practice in Justice Courts Part VI - Rules Relating to Ancillary Proceedings Part VII - Rules Relating to Special Proceedings Part VIII - Closing Rules
Garmin VHF 300i AIS черный Garmin VHF 300i AIS черный Новинка

Garmin VHF 300i AIS черный

Радиостанция Garmin VHF 300i AIS предлагает радиосвязь с мощностью передачи 1 или 25 Вт и поддержку нескольких станций, обеспечивая для Вас гибкость и удобство, необходимые для безопасной навигации и связи в открытом море. Модель VHF 300 поставляется с двусторонней системой мегафона и является совместимой со стандартами NMEA 0183 и NMEA 2000. Кроме того, устройство VHF 300 AIS использует преимущества технологии AIS (Automatic Identification System, автоматическая система идентификации), чтобы Вы могли идентифицировать и обходить другие крупные суда в море. Уверенная связь Модель VHF 300i AIS оборудована двусторонней системой мегафона мощностью 30 Вт для связи с другими судами и командой. Кроме того, в устройстве VHF 300 AIS используется функция голосовой почты, которая позволяет Вам записывать 15-секундное сообщение, а затем передавать это сообщение на любую радиостанцию DSC. Также нажатием всего на одну кнопку Вы можете воспроизвести последние 90 секунд любого входящего голосового вызова. Идентификация окружающей местности С помощью радиостанции VHF 300i AIS Вы получите подробную информацию об окружающей местности независимо от условий видимости. Устройство предоставит Вам данные о других судах, оборудованных системой AIS и находящихся в зоне действия системы (местоположение, курс и скорость). Устройство VHF 300i AIS также принимает одновременно сигналы Класса А и Класса В в качестве меры защиты от потери важной информации. Полное управление Устройство VHF 300i AIS управляется через микрофон GHS 10, благодаря чему обеспечивается полное управление с удаленного поста. В приборе GHS 10 используется четкий ЖК-дисплей с диагональю 2”, специальная вращающаяся кнопка для часто выполняемых задач, а также три программируемые кнопки для динамического управления. В модели VHF 300i AIS применяется поставляемый 4-дюймовый активный динамик с ручкой громкости, встроенный динамик на GHS 10 или дополнительный пассивный динамик, стороннего производства. Экономия места Благодаря компактной конструкции «черный ящик» Вы сможете установить прибор VHF 300i AIS в любом выбранном Вами месте. Поскольку устройство поддерживает несколько станций, Вы можете подключать дополнительные микрофоны GHS 10 в разных точках судна, не добавляя приемники. Система может также использоваться для внутренней связи, если на судне установлено несколько станций. Безопасность на море Модель Garmin VHF 300i AIS обеспечивает прием метеорологических предупреждений NOAA в полном объеме, а также функцию вызова DSC Класса D через интерфейс NMEA 0183 или NMEA 2000. При возникновении опасной ситуации радио DSC обеспечит передачу сигнала бедствия путем нажатия всего на одну кнопку. Если система соединена с совместимым GPS-картплоттером, то Вы сможете принимать позывные и передавать координаты Вашего судна в цифровом формате. В приборе VHF 300i AIS также используется функция Position Tracking (слежение за местоположением), которая позволяет обнаруживать до 3 других судов и наблюдать за ними.
Union Pacific Railway Company American shooting association rules for inanimate target shooting 1896 Union Pacific Railway Company American shooting association rules for inanimate target shooting 1896 Новинка

Union Pacific Railway Company American shooting association rules for inanimate target shooting 1896

American shooting association rules for inanimate target shooting 1896 - Live bird shooting ist ein unveränderter, hochwertiger Nachdruck der Originalausgabe aus dem Jahr 1896.Hansebooks ist Herausgeber von Literatur zu unterschiedlichen Themengebieten wie Forschung und Wissenschaft, Reisen und Expeditionen, Kochen und Ernährung, Medizin und weiteren Genres. Der Schwerpunkt des Verlages liegt auf dem Erhalt historischer Literatur. Viele Werke historischer Schriftsteller und Wissenschaftler sind heute nur noch als Antiquitäten erhältlich. Hansebooks verlegt diese Bücher neu und trägt damit zum Erhalt selten gewordener Literatur und historischem Wissen auch für die Zukunft bei.
Mahendra Mallick Integrated Tracking, Classification, and Sensor Management. Theory and Applications Mahendra Mallick Integrated Tracking, Classification, and Sensor Management. Theory and Applications Новинка

Mahendra Mallick Integrated Tracking, Classification, and Sensor Management. Theory and Applications

11950.1 руб. или Купить в рассрочку!
A unique guide to the state of the art of tracking, classification, and sensor management This book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. It provides for the first time an integrated treatment of these advanced topics, complete with careful mathematical formulation, clear description of the theory, and real-world applications. Written by experts in the field, Integrated Tracking, Classification, and Sensor Management provides readers with easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale sensor management problem-solving techniques. Features include: An accessible coverage of random finite set based multi-target filtering algorithms such as the Probability Hypothesis Density filters and multi-Bernoulli filters with focus on problem solving A succinct overview of the track-oriented MHT that comprehensively collates all significant developments in filtering and tracking A state-of-the-art algorithm for hybrid Bayesian network (BN) inference that is efficient and scalable for complex classification models New structural results in stochastic sensor scheduling and algorithms for dynamic sensor scheduling and management Coverage of the posterior Cramer-Rao lower bound (PCRLB) for target tracking and sensor management Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and reconnaissance (ISR) With its emphasis on the latest research results, Integrated Tracking, Classification, and Sensor Management is an invaluable guide for researchers and practitioners in statistical signal processing, radar systems, operations research, and control theory.
Elyoenai Guerra-Segura, Carlos M. Travieso-González, Jesús B. Alonso-Hernández Image Processing Applied to Melanoma Detection Elyoenai Guerra-Segura, Carlos M. Travieso-González, Jesús B. Alonso-Hernández Image Processing Applied to Melanoma Detection Новинка

Elyoenai Guerra-Segura, Carlos M. Travieso-González, Jesús B. Alonso-Hernández Image Processing Applied to Melanoma Detection

Technischer Bericht aus dem Jahr 2015 im Fachbereich Medizin - Dermatologie, Note: 10/10 with special mention, Universidad de Las Palmas de Gran Canaria , Sprache: Deutsch, Abstract: This book tries to show the basic steps a classification system should take into account when trying to solve a classification problem. This does not mean all systems have to follow this guide. It only gives the normal steps to study when developing a classification system. In particular, this work shows the steps followed when applying a classification system in order to classify melanocytic lesions as melanoma or moles. As mentioned before, this guide is based on a well-known problem. The problem studied is the classification of melanocytic lesions as melanocytic nevus or melanoma cancer. This work has been developed with the collaboration of Hospital Universitario de Gran Canaria Doctor Negrín. The idea of writing this guide is based on the results obtained and the systems applied. The main results has been published in E. Guerra-Segura, C. Travieso-González, J. Alonso-Hernández, A. Ravelo-García, and G. Carretero, "Symmetry Extraction in High Sensitivity Melanoma Diagnosis," Symmetry (Basel)., vol. 7, pp. 1061-1079, 2015.. In this guide all the particular process followed in order to get the published results is explained. The general steps of a classification system are only shown briefly.
B. B. Misra, P. K. Dash, G. Panda Neuro-Swarm Techniques for Classifier Design B. B. Misra, P. K. Dash, G. Panda Neuro-Swarm Techniques for Classifier Design Новинка

B. B. Misra, P. K. Dash, G. Panda Neuro-Swarm Techniques for Classifier Design

Since last few decades, the wide use of advanced technologies made massive growth in the availability of data from different resources, which lead to the challenge of extracting useful knowledge for specific applications. Classification is one of the most important tasks in mining knowledge from such resources. Though a wide number of traditional techniques are available for classification, but finding a high performance robust classification method, applicable to different real world problem is difficult. This book provides a set of techniques for classification which has been applied to problems from multiple disciplines such as life science, physical science, social science, business, and games. Design of a wide range of classifiers using Polynomial Neural Network and its hybridization with Particle Swam Optimization, Fuzzy logic, Artificial Neural Network has been presented in this book with their scope and limitations. The algorithms and models presented for the large range of classifiers will certainly help the readers in using it conveniently for their application areas.
Material Classification Recommended by the Railway Storekeepers. Association Material Classification Recommended by the Railway Storekeepers. Association Новинка

Material Classification Recommended by the Railway Storekeepers. Association

Эта книга — репринт оригинального издания, созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.
Zion Association in England Rules of the Chovevi Zion Association in England Zion Association in England Rules of the Chovevi Zion Association in England Новинка

Zion Association in England Rules of the Chovevi Zion Association in England

Эта книга — репринт оригинального издания, созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.
Крем для ухода за кожей AIS «Глубокое увлажнение», 75 мл Крем для ухода за кожей AIS «Глубокое увлажнение», 75 мл Новинка

Крем для ухода за кожей AIS «Глубокое увлажнение», 75 мл

Крем с легкой текстурой глубоко увлажняет и защищает кожу рук. Масло персика оказывает смягчающее и отбеливающее действие. Экстракт василька тонизирует и избавляет от отеков. Пантенол восстанавливает поврежденную кожу, интенсивно увлажняет и снимает раздражение.Не содержит парабенов, красителей, этилового спирта, SLS и ALS. Не тестируется на животных.Подходит вегетарианцам.Халяльная косметика AIS создана на основе артезианской воды Северного Кавказа и одобрена Советом муфтиев России.
David Coleman 42 Rules for Successful Collaboration (2nd Edition). A Practical Approach to Working with People, Processes and Technology David Coleman 42 Rules for Successful Collaboration (2nd Edition). A Practical Approach to Working with People, Processes and Technology Новинка

David Coleman 42 Rules for Successful Collaboration (2nd Edition). A Practical Approach to Working with People, Processes and Technology

Whether you are a 5-person team or a 50,000 person company some of the same rules for successful collaboration apply. The more you share what you know the more it is worth; understanding a person's local context is more critical to successful collaboration than any technology you may use. Based on years of research, an encyclopedic knowledge of collaborative technologies, and a realization that collaboration is hard to do successfully, Mr. Coleman provides a holistic view on collaboration. Through a variety of contributions from his social networks, others have contributed their best rules for collaboration based on their experience. The holistic approach (People, Process and Technology) is the organizing principle for the book and each rule can be found in the appropriate section. Managers, CEOs, Venture Capitalists, or anyone that has to work with other people at a distance every day can get great benefit from this book.Readers of this book will walk away with a much better idea how to be successful in their interactions with others via the computer. It will help people who are on teams separated geographically, as well as managers and executives. The book filled with high-tech nuggets of wisdom for programmers and IT professionals. But it also has practical rules that apply to anyone who works with others.
Prayag Tiwari Accident Analysis by Using Data Mining Techniques Prayag Tiwari Accident Analysis by Using Data Mining Techniques Новинка

Prayag Tiwari Accident Analysis by Using Data Mining Techniques

Master's Thesis from the year 2017 in the subject Computer Science - Miscellaneous, grade: 5.0/5.0, , course: Computer Science and Engineering, language: English, abstract: Accident data analysis is one of the prime interests in the present era. Analysis of accident is very essential because it can expose the relationship between the different types of attributes that commit to an accident. Road, traffic and airplane accident data have different nature in comparison to other real world data as accidents are uncertain. Analyzing diverse accident dataset can provide the information about the contribution of these attributes which can be utilized to deteriorate the accident rate. Nowadays, Data mining is a popular technique for examining the accident dataset. In this study, Association rule mining, different classification, and clustering techniques have been implemented on the dataset of the road, traffic accidents, and an airplane crash. Achieved result illustrated accuracy at a better level and found many different hidden circumstances that would be helpful to deteriorate accident ratio in near future.
Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications with XLMiner Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications with XLMiner Новинка

Galit Shmueli Data Mining for Business Analytics. Concepts, Techniques, and Applications with XLMiner

10083.01 руб. или Купить в рассрочку!
Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition «…full of vivid and thought-provoking anecdotes… needs to be read by anyone with a serious interest in research and marketing.»– Research Magazine «Shmueli et al. have done a wonderful job in presenting the field of data mining – a welcome addition to the literature.» – ComputingReviews.com «Excellent choice for business analysts…The book is a perfect fit for its intended audience.» – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years.
Matthias Leeb Process Mining and Network Protocols Matthias Leeb Process Mining and Network Protocols Новинка

Matthias Leeb Process Mining and Network Protocols

Diploma Thesis from the year 2015 in the subject Computer Science - IT-Security, grade: 1, St. Pölten University of Applied Sciences (Informatik & Security), language: English, abstract: Process mining is the binding link between computational intelligence, data mining, process modeling and analysis. The thesis shows how this research discipline can be applied to network protocols and what the awards will be. Process mining is based on event data, logged by almost every information system. This event data is extracted, transformed and loaded into the process mining tool to discover, check conformance or enhance the underlying process based on observed behavior. Determining the significance of process mining in the field of network protocols and their control flow, finding the best possible algorithms and notation systems, clarifying the prerequisites and providing a proof of concept are the main achievements. Additionally other reasonable and beneficial applications, like mining an alternative protocol, dealing with a large amount of event data and estimations due to size of necessary event data, are investigated.

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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: • Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government • Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students • More than a dozen case studies demonstrating applications for the data mining techniques described • End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented • A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “ This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 publications including books. Peter C. Bruce is President and Founder of the Institute for Statistics Education at Statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective (Wiley) and co-author of Practical Statistics for Data Scientists: 50 Essential Concepts (O’Reilly). Inbal Yahav, PhD, is Professor at the Graduate School of Business Administration at Bar-Ilan University, Israel. She teaches courses in social network analysis, advanced research methods, and software quality assurance. Dr. Yahav received her PhD in Operations Research and Data Mining from the University of Maryland, College Park. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American St
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