a model based framework for object detection via data transformation



Pushpak Sarkar Data as a Service. A Framework for Providing Reusable Enterprise Data Services Pushpak Sarkar Data as a Service. A Framework for Providing Reusable Enterprise Data Services Новинка

Pushpak Sarkar Data as a Service. A Framework for Providing Reusable Enterprise Data Services

5245.15 руб.
Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions
Mohammad Zomorrodi Advanced Chipless RFID. MIMO-Based Imaging at 60 GHz - ML Detection Mohammad Zomorrodi Advanced Chipless RFID. MIMO-Based Imaging at 60 GHz - ML Detection Новинка

Mohammad Zomorrodi Advanced Chipless RFID. MIMO-Based Imaging at 60 GHz - ML Detection

9372.7 руб.
Introduces advanced high-capacity data encoding and throughput improvement techniques for fully printable multi-bit Chipless RFID tags and reader systems The book proposes new approaches to chipless RFID tag encoding and tag detection that supersede their predecessors in signal processing, tag design, and reader architectures. The text is divided into two main sections: the first section introduces the fundamentals of electromagnetic (EM) imaging at mm-wave band to enhance the content capacity of Chipless RFID systems. The EM Imaging through Synthetic Aperture Radar (SAR) technique is used for data extraction. The second section presents a few smart tag detection techniques for existing chipless RFID systems. A Multiple-Input and Multiple-Output (MIMO) based tag detection technique improves the spectral efficiency and increases data bit capacity. The book concludes with a discussion of how the MIMO approach can be combined with the image based technique to introduce a complete solution with a fast imaging approach to chipless RFID systems. The book has the following salient features: Discusses new approaches to chipless RFID tags such as EM imaging, high capacity data encoding, and robust tag detection techniques Presents techniques to enhance data content capacity of tags and reliable tag detection for the readers at unlicensed microwave and mm-wave 2.45, 24 and 60 GHz instrumentation, scientific and medical (ISM) frequency bands Includes case studies of real-world applications
Peter Fritzson Principles of Object-Oriented Modeling and Simulation with Modelica 3.3. A Cyber-Physical Approach Peter Fritzson Principles of Object-Oriented Modeling and Simulation with Modelica 3.3. A Cyber-Physical Approach Новинка

Peter Fritzson Principles of Object-Oriented Modeling and Simulation with Modelica 3.3. A Cyber-Physical Approach

10123.22 руб.
Fritzson covers the Modelica language in impressive depth from the basic concepts such as cyber-physical, equation-base, object-oriented, system, model, and simulation, while also incorporating over a hundred exercises and their solutions for a tutorial, easy-to-read experience. The only book with complete Modelica 3.3 coverage Over one hundred exercises and solutions Examines basic concepts such as cyber-physical, equation-based, object-oriented, system, model, and simulation
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

5998.52 руб.
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.
Li Han-Xiong System Design and Control Integration for Advanced Manufacturing Li Han-Xiong System Design and Control Integration for Advanced Manufacturing Новинка

Li Han-Xiong System Design and Control Integration for Advanced Manufacturing

7122.94 руб.
Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters.
Bart Baesens Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection Bart Baesens Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection Новинка

Bart Baesens Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection

3189.81 руб.
Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.
Jo Rycroft-Malone Models and Frameworks for Implementing Evidence-Based Practice. Linking Evidence to Action Jo Rycroft-Malone Models and Frameworks for Implementing Evidence-Based Practice. Linking Evidence to Action Новинка

Jo Rycroft-Malone Models and Frameworks for Implementing Evidence-Based Practice. Linking Evidence to Action

4572.88 руб.
The Evidence-Based Nursing Series is co-published with Sigma Theta Tau International (STTI). The series focuses on implementing evidence-based practice in nursing and mirrors the remit of Worldviews on Evidence-Based Nursing, encompassing clinical practice, administration, research and public policy. Models and Frameworks for Implementing Evidence- Based Practice: Linking Evidence to Action looks at ways of implementing evidence gained through research and factors that influence successful implementation. It acknowledges the gap that exists between obtaining evidence and the practicalities of putting it into practice and provides direction to help to close this gap. This, the first book in the series, helps the reader to make decisions about the appropriateness of using various models and frameworks. A selection of models and frameworks are examined in detail including examples of their use in practice. The book concludes with an analysis and synthesis of the included models and frameworks. The models and frameworks that have been included are based on a number of criteria: that they are internationally recognised, have undergone widespread evaluation and testing, are transferable across different settings, and can be used by different disciplines. Models and frameworks include: Stetler Model Ottowa Model of Research Use IOWA model of evidence-based practice Advancing Research and Clinical Practice through Close Collaboration (ARCC) model Dobbins’ dissemination and use of research evidence for policy and practice framework Joanna Briggs Institute model Knowledge to Action framework Promoting Action on Research Implementation in Health Services (PARIHS) Key Points: Includes an overview of implementation issues and the use of theory and frameworks in implementing evidence into practice Chapters are written by the developers of the model or framework Each chapter provides background on an implementation model or framework, suitable applications, underlying theory and examples of use Each chapter examines strengths and weaknesses of each model alongside barriers and facilitators for its implementation
Koksal Hocaoglu A. Subsurface Sensing Koksal Hocaoglu A. Subsurface Sensing Новинка

Koksal Hocaoglu A. Subsurface Sensing

12971.67 руб.
This book provides readers with a solid understanding of the capabilities and limitations of the techniques used for buried object detection. Presenting theory along with applications and the existing technology, it covers the most recent developments in hardware and software technologies of sensor systems with a focus on primary sensors such as Ground Penetrating Radar (GPR) and auxiliary sensors such as Nuclear Quadruple Resonance (NQR). It is essential reading for students, practitioners, specialists, and academicians involved in the design and implementation of buried object detection sensors.
Kevin Murphy D. Modeling and Estimation of Structural Damage Kevin Murphy D. Modeling and Estimation of Structural Damage Новинка

Kevin Murphy D. Modeling and Estimation of Structural Damage

9014.86 руб.
Modelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure
Bart Baesens Beginning Java Programming. The Object-Oriented Approach Bart Baesens Beginning Java Programming. The Object-Oriented Approach Новинка

Bart Baesens Beginning Java Programming. The Object-Oriented Approach

2870.99 руб.
A comprehensive Java guide, with samples, exercises, case studies, and step-by-step instruction Beginning Java Programming: The Object Oriented Approach is a straightforward resource for getting started with one of the world's most enduringly popular programming languages. Based on classes taught by the authors, the book starts with the basics and gradually builds into more advanced concepts. The approach utilizes an integrated development environment that allows readers to immediately apply what they learn, and includes step-by-step instruction with plenty of sample programs. Each chapter contains exercises based on real-world business and educational scenarios, and the final chapter uses case studies to combine several concepts and put readers' new skills to the test. Beginning Java Programming: The Object Oriented Approach provides both the information and the tools beginners need to develop Java skills, from the general concepts of object-oriented programming. Learn to: Understand the Java language and object-oriented concept implementation Use Java to access and manipulate external data Make applications accessible to users with GUIs Streamline workflow with object-oriented patterns The book is geared for those who want to use Java in an applied environment while learning at the same time. Useful as either a course text or a stand-alone self-study program, Beginning Java Programming is a thorough, comprehensive guide.
Evan Tick Structured Finance Modeling with Object-Oriented VBA Evan Tick Structured Finance Modeling with Object-Oriented VBA Новинка

Evan Tick Structured Finance Modeling with Object-Oriented VBA

5108.8 руб.
A detailed look at how object-oriented VBA should be used to model complex financial structures This guide helps readers overcome the difficult task of modeling complex financial structures and bridges the gap between professional C++/Java programmers writing production models and front-office analysts building Excel spreadsheet models. It reveals how to model financial structures using object-oriented VBA in an Excel environment, allowing desk-based analysts to quickly produce flexible and robust models. Filled with in-depth insight and expert advice, it skillfully illustrates the art of object-oriented programming for the explicit purpose of modeling structured products. Residential mortgage securitization is used as a unifying example throughout the text.
Boguslaw Cyganek Object Detection and Recognition in Digital Images. Theory and Practice Boguslaw Cyganek Object Detection and Recognition in Digital Images. Theory and Practice Новинка

Boguslaw Cyganek Object Detection and Recognition in Digital Images. Theory and Practice

10422.72 руб.
Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.
Nicholas C. Zakas Professional JavaScript for Web Developers Nicholas C. Zakas Professional JavaScript for Web Developers Новинка

Nicholas C. Zakas Professional JavaScript for Web Developers

2870.35 руб.
This book provides a developer-level introduction along with more advanced and useful features of JavaScript. Coverage includes: JavaScript use with HTML to create dynamic webpages, language concepts including syntax and flow control statements variable handling given their loosely typed nature built-in reference types such as object and array object-oriented programing powerful aspects of function expressions Browser Object Model allowing interaction with the browser itself detecting the client and its capabilities Document Object Model (DOM) objects available in DOM Level 1 how DOM Levels 2 and 3 augmented the DOM events, legacy support, and how the DOM redefined how events should work enhancing form interactions and working around browser limitations using the tag to create on-the-fly graphics JavaScript API changes in HTML5 how browsers handle JavaScript errors and error handling features of JavaScript used to read and manipulate XML data the JSON data format as an alternative to XML Ajax techniques including the use of XMLHttpRequest object and CORS complex patterns including function currying, partial function application, and dynamic functions offline detection and storing data on the client machine techniques for JavaScript in an enterprise environment for better maintainability This book is aimed at three groups of readers: Experienced object-oriented programming developers looking to learn JavaScript as it relates to traditional OO languages such as Java and C++; Web application developers attempting to enhance site usability; novice JavaScript developers. Nicholas C. Zakas worked with the Web for over a decade. He has worked on corporate intranet applications used by some of the largest companies in the world and large-scale consumer websites such as MyYahoo! and the Yahoo! homepage. He regularly gives talks at companies and conferences regarding front-end best practices and new technology.
Mohamed Nadif Co-Clustering. Models, Algorithms and Applications Mohamed Nadif Co-Clustering. Models, Algorithms and Applications Новинка

Mohamed Nadif Co-Clustering. Models, Algorithms and Applications

7569.3 руб.
Cluster or co-cluster analyses are important tools in a variety of scientific areas. The introduction of this book presents a state of the art of already well-established, as well as more recent methods of co-clustering. The authors mainly deal with the two-mode partitioning under different approaches, but pay particular attention to a probabilistic approach. Chapter 1 concerns clustering in general and the model-based clustering in particular. The authors briefly review the classical clustering methods and focus on the mixture model. They present and discuss the use of different mixtures adapted to different types of data. The algorithms used are described and related works with different classical methods are presented and commented upon. This chapter is useful in tackling the problem of co-clustering under the mixture approach. Chapter 2 is devoted to the latent block model proposed in the mixture approach context. The authors discuss this model in detail and present its interest regarding co-clustering. Various algorithms are presented in a general context. Chapter 3 focuses on binary and categorical data. It presents, in detail, the appropriated latent block mixture models. Variants of these models and algorithms are presented and illustrated using examples. Chapter 4 focuses on contingency data. Mutual information, phi-squared and model-based co-clustering are studied. Models, algorithms and connections among different approaches are described and illustrated. Chapter 5 presents the case of continuous data. In the same way, the different approaches used in the previous chapters are extended to this situation. Contents 1. Cluster Analysis. 2. Model-Based Co-Clustering. 3. Co-Clustering of Binary and Categorical Data. 4. Co-Clustering of Contingency Tables. 5. Co-Clustering of Continuous Data. About the Authors Gérard Govaert is Professor at the University of Technology of Compiègne, France. He is also a member of the CNRS Laboratory Heudiasyc (Heuristic and diagnostic of complex systems). His research interests include latent structure modeling, model selection, model-based cluster analysis, block clustering and statistical pattern recognition. He is one of the authors of the MIXMOD (MIXtureMODelling) software. Mohamed Nadif is Professor at the University of Paris-Descartes, France, where he is a member of LIPADE (Paris Descartes computer science laboratory) in the Mathematics and Computer Science department. His research interests include machine learning, data mining, model-based cluster analysis, co-clustering, factorization and data analysis. Cluster Analysis is an important tool in a variety of scientific areas. Chapter 1 briefly presents a state of the art of already well-established as well more recent methods. The hierarchical, partitioning and fuzzy approaches will be discussed amongst others. The authors review the difficulty of these classical methods in tackling the high dimensionality, sparsity and scalability. Chapter 2 discusses the interests of coclustering, presenting different approaches and defining a co-cluster. The authors focus on co-clustering as a simultaneous clustering and discuss the cases of binary, continuous and co-occurrence data. The criteria and algorithms are described and illustrated on simulated and real data. Chapter 3 considers co-clustering as a model-based co-clustering. A latent block model is defined for different kinds of data. The estimation of parameters and co-clustering is tackled under two approaches: maximum likelihood and classification maximum likelihood. Hard and soft algorithms are described and applied on simulated and real data. Chapter 4 considers co-clustering as a matrix approximation. The trifactorization approach is considered and algorithms based on update rules are described. Links with numerical and probabi
Sunder Gee Fraud and Fraud Detection. A Data Analytics Approach Sunder Gee Fraud and Fraud Detection. A Data Analytics Approach Новинка

Sunder Gee Fraud and Fraud Detection. A Data Analytics Approach

4873.8 руб.
Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.
I. Gusti Ngurah Agung Cross Section and Experimental Data Analysis Using EViews I. Gusti Ngurah Agung Cross Section and Experimental Data Analysis Using EViews Новинка

I. Gusti Ngurah Agung Cross Section and Experimental Data Analysis Using EViews

11111.64 руб.
A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. «This book is a reflection of the vast experience and knowledge of the author. It is a useful reference for students and practitioners dealing with cross sectional data analysis … The strength of the book lies in its wealth of material and well structured guidelines …» Prof. Yohanes Eko Riyanto, Nanyang Technological University, Singapore «This is superb and brilliant. Prof. Agung has skilfully transformed his best experiences into new knowledge … creating a new way of understanding data analysis.» Dr. I Putu Gede Ary Suta, The Ary Suta Center, Jakarta Basic theoretical concepts of statistics as well as sampling methods are often misinterpreted by students and less experienced researchers. This book addresses this issue by providing a hands-on practical guide to conducting data analysis using EViews combined with a variety of illustrative models (and their extensions). Models having numerically dependent variables based on a cross-section data set (such as univariate, multivariate and nonlinear models as well as non-parametric regressions) are concentrated on. It is shown that a wide variety of hypotheses can easily be tested using EViews. Cross Section and Experimental Data Analysis Using EViews: Provides step-by-step directions on how to apply EViews to cross section data analysis – from multivariate analysis and nonlinear models to non-parametric regression Presents a method to test for all possible hypotheses based on each model Proposes a new method for data analysis based on a multifactorial design model Demonstrates that statistical summaries in the form of tabulations are invaluable inputs for strategic decision making Contains 200 examples with special notes and comments based on the author’s own empirical findings as well as over 400 illustrative outputs of regressions from EViews Techniques are illustrated through practical examples from real situations Comes with supplementary material, including work-files containing selected equation and system specifications that have been applied in the book This user-friendly introduction to EViews is ideal for Advanced undergraduate and graduate students taking finance, econometrics, population, or public policy courses, as well as applied policy researchers.
Bart Baesens Analytics in a Big Data World. The Essential Guide to Data Science and its Applications Bart Baesens Analytics in a Big Data World. The Essential Guide to Data Science and its Applications Новинка

Bart Baesens Analytics in a Big Data World. The Essential Guide to Data Science and its Applications

3189.81 руб.
The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
Christopher Price Microsoft Big Data Solutions Christopher Price Microsoft Big Data Solutions Новинка

Christopher Price Microsoft Big Data Solutions

3192.36 руб.
Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all, it helps you integrate these new solutions with technologies you already know, such as SQL Server and Hadoop. Walks you through how to integrate Big Data solutions in your company using Microsoft's HDInsight Server, HortonWorks Data Platform for Windows, and open source tools Explores both on-premises and cloud-based solutions Shows how to store, manage, analyze, and share Big Data through the enterprise Covers topics such as Microsoft's approach to Big Data, installing and configuring HortonWorks Data Platform for Windows, integrating Big Data with SQL Server, visualizing data with Microsoft and HortonWorks BI tools, and more Helps you build and execute a Big Data plan Includes contributions from the Microsoft and HortonWorks Big Data product teams If you need a detailed roadmap for designing and implementing a fully deployed Big Data solution, you'll want Microsoft Big Data Solutions.
Bill Hinderman Building Responsive Data Visualization for the Web Bill Hinderman Building Responsive Data Visualization for the Web Новинка

Bill Hinderman Building Responsive Data Visualization for the Web

2870.99 руб.
Unchain your data from the desktop with responsive visualizations Building Responsive Data Visualization for the Web is a handbook for any front-end development team needing a framework for integrating responsive web design into the current workflow. Written by a leading industry expert and design lead at Starbase Go, this book provides a wealth of information and practical guidance from the perspective of a real-world designer. You'll walk through the process of building data visualizations responsively as you learn best practices that build upon responsive web design principles, and get the hands-on practice you need with exercises, examples, and source code provided in every chapter. These strategies are designed to be implemented by teams large and small, with varying skill sets, so you can apply these concepts and skills to your project right away. Responsive web design is the practice of building a website to suit base browser capability, then adding features that enhance the experience based on the user's device's capabilities. Applying these ideas to data produces visualizations that always look as if they were designed specifically for the device through which they are viewed. This book shows you how to incorporate these principles into your current practices, with highly practical hands-on training. Examine the hard data surrounding responsive design Master best practices with hands-on exercises Learn data-based document manipulation using D3.js Adapt your current strategies to responsive workflows Data is growing exponentially, and the need to visualize it in any context has become crucial. Traditional visualizations allow important data to become lost when viewed on a small screen, and the web traffic speaks for itself – viewers repeatedly demonstrate their preference for responsive design. If you're ready to create more accessible, take-anywhere visualizations, Building Responsive Data Visualization for the Web is your tailor-made solution.
Bruno Legeard Model-Based Testing Essentials - Guide to the ISTQB Certified Model-Based Tester. Foundation Level Bruno Legeard Model-Based Testing Essentials - Guide to the ISTQB Certified Model-Based Tester. Foundation Level Новинка

Bruno Legeard Model-Based Testing Essentials - Guide to the ISTQB Certified Model-Based Tester. Foundation Level

6744.78 руб.
Provides a practical and comprehensive introduction to the key aspects of model-based testing as taught in the ISTQB® Model-Based Tester—Foundation Level Certification Syllabus This book covers the essentials of Model-Based Testing (MBT) needed to pass the ISTQB® Foundation Level Model-Based Tester Certification. The text begins with an introduction to MBT, covering both the benefits and the limitations of MBT. The authors review the various approaches to model-based testing, explaining the fundamental processes in MBT, the different modeling languages used, common good modeling practices, and the typical mistakes and pitfalls. The book explains the specifics of MBT test implementation, the dependencies on modeling and test generation activities, and the steps required to automate the generated test cases. The text discusses the introduction of MBT in a company, presenting metrics to measure success and good practices to apply. Provides case studies illustrating different approaches to Model-Based Testing Includes in-text exercises to encourage readers to practice modeling and test generation activities Contains appendices with solutions to the in-text exercises, a short quiz to test readers, along with additional information Model-Based Testing Essentials – Guide to the ISTQB® Certified Model-Based Tester – Foundation Level is written primarily for participants of the ISTQB® Certification: software engineers, test engineers, software developers, and anybody else involved in software quality assurance. This book can also be used for anyone who wants a deeper understanding of software testing and of the use of models for test generation.
Mateu Jorge Spatio-temporal Design. Advances in Efficient Data Acquisition Mateu Jorge Spatio-temporal Design. Advances in Efficient Data Acquisition Новинка

Mateu Jorge Spatio-temporal Design. Advances in Efficient Data Acquisition

8965.94 руб.
A state-of-the-art presentation of optimum spatio-temporal sampling design – bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand. Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design. Spatio-temporal Design: Advances in Efficient Data Acquisition: Provides an up-to-date account of how to collect space-time data for monitoring, with a focus on statistical aspects and the latest computational methods Discusses basic methods and distinguishes between design and model-based approaches to collecting space-time data. Features model-based frequentist design for univariate and multivariate geostatistics, and second-phase spatial sampling. Integrates common data examples and case studies throughout the book in order to demonstrate the different approaches and their integration. Includes real data sets, data generating mechanisms and simulation scenarios. Accompanied by a supporting website featuring R code. Spatio-temporal Design presents an excellent book for graduate level students as well as a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems Новинка

Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems

5473.51 руб.
This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a user in a frequency band, by achieving a quasi-optimal channel and noise variance estimation if the signal is present, and by estimating the noise level in the band if the signal is absent. Organized into three chapters, the first chapter provides the background against which the system model is presented, as well as some basics concerning the channel statistics and the transmission of an OFDM signal over a multipath channel. In Chapter 2, the proposed iterative algorithm for the noise variance and the channel estimation is detailed, and in Chapter 3, an application of the algorithm for the free-band detection is proposed. In both Chapters 2 and 3, the principle of the algorithm is presented in a simple way, and more elaborate developments are also provided. The different assumptions and assertions in the developments and the performance of the proposed method are validated through simulations, and compared to methods of the scientific literature
Dave Johnson Executing Your Business Transformation. How to Engage Sweeping Change Without Killing Yourself Or Your Business Dave Johnson Executing Your Business Transformation. How to Engage Sweeping Change Without Killing Yourself Or Your Business Новинка

Dave Johnson Executing Your Business Transformation. How to Engage Sweeping Change Without Killing Yourself Or Your Business

1910.8 руб.
Practical, tested, implementable real-world advice for transforming any business and is written by people that have “been there and done that”. Changing an organization is tough. Transformation is hard work that should not be attempted by the faint of heart or the weak of mind. But transformation is not rocket science either. By taking a realistic, simple and direct view of what is required to transform an enterprise, the authors reduce the noise and nonsense that surrounds much of the discussion of transformation and provide straight forward lessons, examples and thought provoking questions to guide the reader to a more powerful position as an agent of change. Based on the authors' decades of experience dealing with major business transformation, this book provides valuable guidance for any company engaged in large scale change brought on by shifts in the competitive landscape, mergers, acquisitions, or a major restructuring of their business model. Many organizations undergo transformation with lots of enthusiasm, but are frustrated with the results. This book contains a set of lessons gained in the process of working in and with organizations in the process of transformation. The book starts out by framing transformation and explains the overall system the enterprise that is involved in transformation. By doing so, clarity is brought to the question of why change is so difficult and problematic. What you can expect to get by reading this book is: A way of looking at transformation that is comprehensive and yet manageable without all the buzzword bingo terminology 11 critical lessons taken from the author’s broad experience on a broad range of topics that you can leverage in your situation To get some thought provoking insight from 10 key questions for each lesson that you can use to apply the lessons to your organization A comprehensive framework for leading transformation that will challenge your thinking and provide a path forward to taking immediate action With rare insight and candor, the authors provide thoughtful advice backed by examples from their comprehensive experience. If you don’t like transformation, you are going to hate irrelevance. This book is your best bet for getting the insight you need to transform your organization before it becomes irrelevant.
Huijun Gao Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information Huijun Gao Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information Новинка

Huijun Gao Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

11622.14 руб.
In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent. Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information reflects the state-of-the-art of the research area for handling randomly occurring incomplete information from three interrelated aspects of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered, and application potential in mobile robotics is also considered. The reader will benefit from the introduction of new concepts, new models and new methodologies with practical significance in control engineering and signal processing. Key Features: Establishes a unified framework for filtering, control and fault detection problem for various discrete-time nonlinear stochastic systems with randomly occurring incomplete information Investigates several new concepts for randomly occurring phenomena and proposes a new system model to better describe network-induced problems Demonstrates how newly developed techniques can handle emerging mathematical and computational challenges Contains the latest research results Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information provides a unified yet neat framework for control/filtering/fault-detection with randomly occurring incomplete information. It is a comprehensive textbook for graduate students and is also a useful practical research reference for engineers dealing with control, filtering and fault detection problems for networked systems.
Leonard Vona W. Fraud Data Analytics Methodology. The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems Leonard Vona W. Fraud Data Analytics Methodology. The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems Новинка

Leonard Vona W. Fraud Data Analytics Methodology. The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems

6066.7 руб.
Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems. Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing. Locate hidden signs of fraud Build a holistic fraud data analytic plan Identify red flags that lead to fraudulent transactions Build efficient data interrogation into your audit plan Incorporating data analytics into your audit program is not about reinventing the wheel. A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency. When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results. Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.
Jean-Paul Isson Win with Advanced Business Analytics. Creating Business Value from Your Data Jean-Paul Isson Win with Advanced Business Analytics. Creating Business Value from Your Data Новинка

Jean-Paul Isson Win with Advanced Business Analytics. Creating Business Value from Your Data

3831.6 руб.
Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.
Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation Новинка

Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation

7506.1 руб.
This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.
Patrice Micouin Model Based Systems Engineering. Fundamentals and Methods Patrice Micouin Model Based Systems Engineering. Fundamentals and Methods Новинка

Patrice Micouin Model Based Systems Engineering. Fundamentals and Methods

10047.81 руб.
This book is a contribution to the definition of a model based system engineering (MBSE) approach, designed to meet the objectives laid out by the INCOSE. After pointing out the complexity that jeopardizes a lot of system developments, the book examines fundamental aspects of systems under consideration. It goes on to address methodological issues and proposes a methodic approach of MBSE that provides, unlike current practices, systematic and integrated model-based engineering processes. An annex describes relevant features of the VHDL-AMS language supporting the methodological issues described in the book.
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

14176.92 руб.
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.
Joel McPhee E. Mastering Strategic Risk. A Framework for Leading and Transforming Organizations Joel McPhee E. Mastering Strategic Risk. A Framework for Leading and Transforming Organizations Новинка

Joel McPhee E. Mastering Strategic Risk. A Framework for Leading and Transforming Organizations

4150.9 руб.
The modern business climate demands a new risk management strategy Mastering Strategic Risk: A Framework for Leading and Transforming Organizations is a comprehensive guide to redesigning organizational systems to better manage the risks and complexities of the modern world. Based on the notion of «Create, Facilitate, and Support,» the book provides a roadmap to ensuring optimum performance in even the most challenging circumstances. Whether applied to a system or an entire organization, the ideas presented can help unlock a business's potential and ensure a sustainable advantage. Modern business leaders face unprecedented challenges, and risk management has become a strategic priority. Traditional management frameworks are outdated, and cannot be re-tooled to effectively account for the demands and complexities of the 21st century. Instead of adjusting old, ineffective models, businesses are better served by implementing an entirely new model custom-built to lead organizations through today's business environment. Mastering Strategic Risk describes this brand new framework, and provides the tools and background leaders need to remain effective in this new age. Topics include: The three forces behind customer behavior, competitive advantage, and a culture of discipline New major change agents that drive complexity and intensity Tools that help identify and mitigate the biggest risks to operations A new HR model to drive peak performance and galvanize employees The book contains well-known real-world examples from Wachovia, Toyota, World-Com, and Citrix, that illustrate key concepts within the new framework and demonstrate the core elements of modern risk management. For the savvy leader looking to push an organization to the next level, Mastering Strategic Risk: A Framework for Leading and Transforming Organizations provides a brand new model for effective management.
R. Rhinehart Russell Nonlinear Regression Modeling for Engineering Applications. Modeling, Model Validation, and Enabling Design of Experiments R. Rhinehart Russell Nonlinear Regression Modeling for Engineering Applications. Modeling, Model Validation, and Enabling Design of Experiments Новинка

R. Rhinehart Russell Nonlinear Regression Modeling for Engineering Applications. Modeling, Model Validation, and Enabling Design of Experiments

9578.29 руб.
Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization. First, we postulate a mechanism, then derive a model grounded in that mechanistic understanding. If the model does not fit the data, our understanding of the mechanism was wrong or incomplete. Patterns in the residuals can guide model improvement. Alternately, when the model fits the data, our understanding is sufficient and confidently functional for engineering applications. This book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental design. The focus is on practical applications, with relevant methods supported by fundamental analysis. This book will assist either the academic or industrial practitioner to properly classify the system, choose between the various available modeling options and regression objectives, design experiments to obtain data capturing critical system behaviors, fit the model parameters based on that data, and statistically characterize the resulting model. The author has used the material in the undergraduate unit operations lab course and in advanced control applications.
Hayes A. The Girl on the Via Flaminia Hayes A. The Girl on the Via Flaminia Новинка

Hayes A. The Girl on the Via Flaminia

625 руб.
Rome, 1944. Robert is a lonely American soldier looking for a girl. Lisa is cold and hungry, obliged to seek work at Mamma Pulcini's house on the Via Flaminia. Their lives come together in what should be a simple exchange, a temporary arrangement without love or complication. But in a city broken by war, its people defeated, nothing is simple. Based on Alfred Hayes'own experiences of wartime Italy, this spare, searing novel exposes the dark complexities of the relationship between men and women, victor and vanquished.
Richard Cascarino E. Corporate Fraud and Internal Control Workbook. A Framework for Prevention Richard Cascarino E. Corporate Fraud and Internal Control Workbook. A Framework for Prevention Новинка

Richard Cascarino E. Corporate Fraud and Internal Control Workbook. A Framework for Prevention

2548.8 руб.
The essential companion to Corporate Fraud and Internal Control, complete with review exercises for key concepts Used together with Corporate Fraud and Internal Control: A Framework for Prevention, this Workbook tests readers' knowledge of the subject with a focus on the appropriateness of the design of the system of internal controls in fraud risk mitigation, as well as the mechanisms to ensure effective implementation and monitoring on an ongoing basis. This Workbook includes step-by-step exercises and tests to help the reader master the techniques in fraud prevention and detection. Companion to Corporate Fraud and Internal Control: A Framework for Prevention Includes step-by-step exercise and tests Provides discussion-based case studies Features the necessary tools that companies need to combat fraud Written by a fraud prevention leader, Corporate Fraud and Internal Control Workbook features a fill in the blanks structure, followed by a short answer section, and ending with a discussion based series of case studies covering the following topics.
Tisdell Elizabeth J. Qualitative Research. A Guide to Design and Implementation Tisdell Elizabeth J. Qualitative Research. A Guide to Design and Implementation Новинка

Tisdell Elizabeth J. Qualitative Research. A Guide to Design and Implementation

3831.6 руб.
The bestselling guide to qualitative research, updated and expanded Qualitative Research is the essential guide to understanding, designing, conducting, and presenting a qualitative research study. This fourth edition features new material covering mixed methods, action research, arts-based research, online data sources, and the latest in data analysis, including data analysis software packages as well as narrative and poetic analysis strategies. A new section offers multiple ways of presenting qualitative research findings. The reader-friendly, jargon-free style makes this book accessible to both novice and experienced researchers, emphasizing the role of a theoretical framework in designing a study while providing practical guidance. Qualitative research reaches beyond the what, where, and when of quantitative analysis to investigate the why and how behind human behavior and the reasons that govern such behavior, but this presents a number of significant challenges. This guide is an invaluable reference for students and practitioners alike, providing the deep understanding that this sometimes difficult area of research requires to produce accurate results. The book contains a step-by-step guide to analyzing qualitative data and an addendum for graduate students with a template for a thesis, dissertation, or grant application. Build a strong foundation in qualitative research theory and application Design and implement effective qualitative research studies Communicate findings more successfully with clear presentation Explore data sources, data analysis tools, and the different types of research
Alison Wray Formulaic Language Alison Wray Formulaic Language Новинка

Alison Wray Formulaic Language

2745.71 руб.
Presents a framework for examining the existence and function of formulaic language and tests it extensively against language data within a wide variety of language samples. Formulaic language is a fast-growing area of applied linguistic research, and the author is a key figure in this field.
Bert Popping Molecular Biological and Immunological Techniques and Applications for Food Chemists Bert Popping Molecular Biological and Immunological Techniques and Applications for Food Chemists Новинка

Bert Popping Molecular Biological and Immunological Techniques and Applications for Food Chemists

11997.76 руб.
A guide to using molecular biology and immunological methods for the analysis of food Many of the analytical problems that food chemists face in the lab cannot be solved by chemistry alone, and so analytical chemists are turning to molecular biology and immunology for alternative approaches. Molecular Biological and Immunological Techniques and Applications for Food Chemists comprehensively explains the most important molecular biology and immunology methods, and illustrates their application in food analysis. Written by a distinguished group of experts, the coverage includes: Molecular Biological Methods—techniques explained, laboratory layout, PCR, real-time PCR, RFLP, SSCP, and sequencing Molecular Biology Applications—meat, genetically modified organisms (GMOs), food allergens, offal, and fish Immunological Methods—techniques explained and antibody-based detection methods Immunology Applications—animal speciation, international food allergen regulations (except Japanese), Japanese regulations and buckwheat allergen detection, egg allergen detection, soy allergen detection, milk allergen detection, gluten allergen detection, nut allergen detection, fish allergen detection, lupin allergen detection, mustard allergen detection, and celery allergen detection Clearly written and consistently edited to provide information to a wide range of readers, Molecular Biological and Immunological Techniques and Applications for Food Chemists offers an up-to-date reference for food scientists in government and industry, policymakers, and graduate-level students of food science, technology, and engineering. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Tony Fisher The Data Asset. How Smart Companies Govern Their Data for Business Success Tony Fisher The Data Asset. How Smart Companies Govern Their Data for Business Success Новинка

Tony Fisher The Data Asset. How Smart Companies Govern Their Data for Business Success

2870.99 руб.
An indispensable guide that shows companies how to treat data as a strategic asset Organizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset. Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Success; and Technologies Required for Effective Data Quality and Data Governance and, within these areas, covers Risk mitigation Cost control Revenue optimization Undisciplined and reactive organizations Proactive organizations Analysis, improvement, and control technology Whether you're a business manager or an IT professional, The Data Asset reveals the methodology and technology needed to approach successful data quality and data governance initiatives on an enterprise scale.
James Thompson R. Empirical Model Building. Data, Models, and Reality James Thompson R. Empirical Model Building. Data, Models, and Reality Новинка

James Thompson R. Empirical Model Building. Data, Models, and Reality

11111.64 руб.
Praise for the First Edition «This…novel and highly stimulating book, which emphasizes solving real problems…should be widely read. It will have a positive and lasting effect on the teaching of modeling and statistics in general.» – Short Book Reviews This new edition features developments and real-world examples that showcase essential empirical modeling techniques Successful empirical model building is founded on the relationship between data and approximate representations of the real systems that generated that data. As a result, it is essential for researchers who construct these models to possess the special skills and techniques for producing results that are insightful, reliable, and useful. Empirical Model Building: Data, Models, and Reality, Second Edition presents a hands-on approach to the basic principles of empirical model building through a shrewd mixture of differential equations, computer-intensive methods, and data. The book outlines both classical and new approaches and incorporates numerous real-world statistical problems that illustrate modeling approaches that are applicable to a broad range of audiences, including applied statisticians and practicing engineers and scientists. The book continues to review models of growth and decay, systems where competition and interaction add to the complextiy of the model while discussing both classical and non-classical data analysis methods. This Second Edition now features further coverage of momentum based investing practices and resampling techniques, showcasing their importance and expediency in the real world. The author provides applications of empirical modeling, such as computer modeling of the AIDS epidemic to explain why North America has most of the AIDS cases in the First World and data-based strategies that allow individual investors to build their own investment portfolios. Throughout the book, computer-based analysis is emphasized and newly added and updated exercises allow readers to test their comprehension of the presented material. Empirical Model Building, Second Edition is a suitable book for modeling courses at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians and researchers who carry out quantitative modeling in their everyday work.
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Printio Object

2164 руб.
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Printio Object Printio Object Новинка

Printio Object

1025 руб.
Лонгслив — цвет: БЕЛЫЙ, пол: МУЖ. The only object in the known universe intended to arouse is a human body
Galit Shmueli Information Quality. The Potential of Data and Analytics to Generate Knowledge Galit Shmueli Information Quality. The Potential of Data and Analytics to Generate Knowledge Новинка

Galit Shmueli Information Quality. The Potential of Data and Analytics to Generate Knowledge

6748.34 руб.
Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain. Presents a framework for integrating domain knowledge with data analysis. Provides a combination of both methodological and practical aspects of data analysis. Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects. Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys. Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis.
DeWayne Derryberry R. Basic Data Analysis for Time Series with R DeWayne Derryberry R. Basic Data Analysis for Time Series with R Новинка

DeWayne Derryberry R. Basic Data Analysis for Time Series with R

8922.38 руб.
Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents a coherent and systematic regression-based approach to model selection. The book illustrates these principles of model selection and model building through the use of information criteria, cross validation, hypothesis tests, and confidence intervals. Focusing on frequency- and time-domain and trigonometric regression as the primary themes, the book also includes modern topical coverage on Fourier series and Akaike's Information Criterion (AIC). In addition, Basic Data Analysis for Time Series with R also features: Real-world examples to provide readers with practical hands-on experience Multiple R software subroutines employed with graphical displays Numerous exercise sets intended to support readers understanding of the core concepts Specific chapters devoted to the analysis of the Wolf sunspot number data and the Vostok ice core data sets
Susan Gray W. Competency-Based Assessments in Mental Health Practice. Cases and Practical Applications Susan Gray W. Competency-Based Assessments in Mental Health Practice. Cases and Practical Applications Новинка

Susan Gray W. Competency-Based Assessments in Mental Health Practice. Cases and Practical Applications

4597.92 руб.
Competency-Based Assessments in Mental Health Practice should be required reading for all clinical practitioners and students. Author Susan W. Gray provides a competency-based assessment model that moves away from looking at mental illness as a 'disease' to capturing people's strengths and the uniqueness of their experience with mental illness. —Alex Gitterma Zachs Professor and Director of PhD Program «Competency-Based Assessment in Mental Health Practice not only describes the rather cumbersome DSM-IV-TR® in a manner that graduate students and clinicians can easily understand and apply, but it also presents a competency-based type of clinical assessment that most effectively integrates the social work practice orientation that acknowledges, appreciates, and nurtures client strengths, resilience, and client ability for empowerment.» —Agathi Glezakos, PhD, LCSW School of Social Work California State University, Long Beach A competency-based assessment model integrating DSM classifications for a complete, strengths-based diagnosis Competency-Based Assessments in Mental Health Practice introduces a unique, competency-based assessment that presents a brief overview of the major mental disorders that practitioners will likely encounter in their work with clients, followed by a series of case studies and practical applications. This book provides valuable guidance for clinicians to make assessments grounded in client strengths and possibilities for a more therapeutically complete picture of every client's «story.» Organized around selected diagnostic categories from the DSM-IV-TR, this hands-on guide offers a multidimensional look at the many factors that play a role in a client's life. Its holistic approach to the assessment process considers each client's unique experience with mental illness, through a concurrent evaluation of strengths and pathology, in order to set the stage for realistic optimism about the potential for change.
Matt Sekerke Bayesian Risk Management. A Guide to Model Risk and Sequential Learning in Financial Markets Matt Sekerke Bayesian Risk Management. A Guide to Model Risk and Sequential Learning in Financial Markets Новинка

Matt Sekerke Bayesian Risk Management. A Guide to Model Risk and Sequential Learning in Financial Markets

6066.7 руб.
A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning-based methods, the framework presented here allows you to measure risk in a fully-Bayesian setting without losing the structure afforded by parametric risk and asset-pricing models. Recognize the assumptions embodied in classical statistics Quantify model risk along multiple dimensions without backtesting Model time series without assuming stationarity Estimate state-space time series models online with simulation methods Uncover uncertainty in workhorse risk and asset-pricing models Embed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision-making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.
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

9732.26 руб.
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.
Printio Object Printio Object Новинка

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721 руб.
Футболка классическая — цвет: БЕЛЫЙ, пол: МУЖ, качество: ЭКОНОМ. The only object in the known universe intended to arouse is a human body
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518 руб.
Сумка. The only object in the known universe intended to arouse is a human body
Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Новинка

Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew

6705.3 руб.
A new, more accurate take on the classical approach to volatility evaluation Inside Volatility Filtering presents a new approach to volatility estimation, using financial econometrics based on a more accurate estimation of the hidden state. Based on the idea of «filtering», this book lays out a two-step framework involving a Chapman-Kolmogorov prior distribution followed by Bayesian posterior distribution to develop a robust estimation based on all available information. This new second edition includes guidance toward basing estimations on historic option prices instead of stocks, as well as Wiener Chaos Expansions and other spectral approaches. The author's statistical trading strategy has been expanded with more in-depth discussion, and the companion website offers new topical insight, additional models, and extra charts that delve into the profitability of applied model calibration. You'll find a more precise approach to the classical time series and financial econometrics evaluation, with expert advice on turning data into profit. Financial markets do not always behave according to a normal bell curve. Skewness creates uncertainty and surprises, and tarnishes trading performance, but it's not going away. This book shows traders how to work with skewness: how to predict it, estimate its impact, and determine whether the data is presenting a warning to stay away or an opportunity for profit. Base volatility estimations on more accurate data Integrate past observation with Bayesian probability Exploit posterior distribution of the hidden state for optimal estimation Boost trade profitability by utilizing «skewness» opportunities Wall Street is constantly searching for volatility assessment methods that will make their models more accurate, but precise handling of skewness is the key to true accuracy. Inside Volatility Filtering shows you a better way to approach non-normal distributions for more accurate volatility estimation.
Meta Brown S. Data Mining For Dummies Meta Brown S. Data Mining For Dummies Новинка

Meta Brown S. Data Mining For Dummies

2232.35 руб.
Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.
Christine Jones Cardiac Rehabilitation. A Workbook for use with Group Programmes Christine Jones Cardiac Rehabilitation. A Workbook for use with Group Programmes Новинка

Christine Jones Cardiac Rehabilitation. A Workbook for use with Group Programmes

4195.13 руб.
This easy-to-use manual provides a practical framework for a multi-disciplinary team to deliver a successful cardiac rehabilitation programme. Despite evidence that cardiac rehabilitation programmes reduce risk, there is no standard for hospital-based multidisciplinary programmes – which are thus complex and costly to design and implement Based on the cardiac rehabilitation work that has been carried out at in Gloucestershire over the past fifteen years, developing and constantly evaluating the evidence base for the programme Includes client handouts such as food and exercise diaries
Trisha Greenhalgh How to Read a Paper. The Basics of Evidence-Based Medicine Trisha Greenhalgh How to Read a Paper. The Basics of Evidence-Based Medicine Новинка

Trisha Greenhalgh How to Read a Paper. The Basics of Evidence-Based Medicine

3981.03 руб.
The best-selling introduction to evidence-based medicine In a clear and engaging style, How to Read a Paper demystifies evidence-based medicine and explains how to critically appraise published research and also put the findings into practice. An ideal introduction to evidence-based medicine, How to Read a Paper explains what to look for in different types of papers and how best to evaluate the literature and then implement the findings in an evidence-based, patient-centred way. Helpful checklist summaries of the key points in each chapter provide a useful framework for applying the principles of evidence-based medicine in everyday practice. This fifth edition has been fully updated with new examples and references to reflect recent developments and current practice. It also includes two new chapters on applying evidence-based medicine with patients and on the common criticisms of evidence-based medicine and responses. How to Read a Paper is a standard text for medical and nursing schools as well as a friendly guide for everyone wanting to teach or learn the basics of evidence-based medicine.
Xu Rui Clustering Xu Rui Clustering Новинка

Xu Rui Clustering

12031.22 руб.
This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.
Printio Object Printio Object Новинка

Printio Object

726 руб.
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Printio Object Printio Object Новинка

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900 руб.
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726 руб.
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Футболка классическая — цвет: БЕЛЫЙ, пол: ЖЕН. The only object in the known universe intended to arouse is a human body
Michael Kavis J. Architecting the Cloud. Design Decisions for Cloud Computing Service Models (SaaS, PaaS, and IaaS) Michael Kavis J. Architecting the Cloud. Design Decisions for Cloud Computing Service Models (SaaS, PaaS, and IaaS) Новинка

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An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.
Johnson Wayne P. Making Sense of Data I. A Practical Guide to Exploratory Data Analysis and Data Mining Johnson Wayne P. Making Sense of Data I. A Practical Guide to Exploratory Data Analysis and Data Mining Новинка

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Praise for the First Edition “…a well-written book on data analysis and data mining that provides an excellent foundation…” —CHOICE “This is a must-read book for learning practical statistics and data analysis…” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available Traceis™ software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.
Stephen Johnson Scott Emergent. Ignite Purpose, Transform Culture, Make Change Stick Stephen Johnson Scott Emergent. Ignite Purpose, Transform Culture, Make Change Stick Новинка

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Traditional hierarchical structures are falling – is your organisation ready? Emergent provides a handbook for navigating – and thriving in – the new cultural paradigm. More than a simple DIY for change, this book empowers organisations to diagnose change risk, address current shortcomings and adapt to the increasing current away from hierarchies to autonomous and interdependent networks. Unguided, most fail in their attempt; this shift exposes huge skills deficits, a lack of engagement, lack of value and meaning, market reach, penetration and more. Here, a twenty-year veteran of brand and culture transformation outlines a unique governance framework and blueprint for implementing and co-creating your own cultural shift. Methodologies from crowdsourcing and social movements are adopted as tools for initiating change and creating cultural cohesion around a higher purpose, and essential skills and tools help equip organisations and individuals for the emergent future. Today's workplace demands are creating extraordinary challenges for organisations; power is shifting, and the spotlight has forced businesses to engage with stakeholders in more meaningful ways, and to acknowledge a need for radical ‘humanization' of the workplace. To drive successful change you need to spark a movement. This book provides a way forward through the transition, with expert guidance and a clear, actionable framework for implementation. Adopt a unique governance framework for culture transformation Energise, mobilise and catalyse change, innovation and growth Address skills deficits, values misalignment, failed engagement and more Ignite your organisation's purpose and forge sustainability for the future The demand for greater values alignment, autonomy and individual empowerment – fuelled by technology and increasing interdependencies – is bringing down the traditional power structure. The question is: what moves into its place? A strong organisational culture is the difference between surviving and thriving in the marketplace. Emergent provides a practical blueprint for transformation to help your organisation navigate the shift successfully.
F. Carlevaro Econometric Modeling and Analysis of Residential Water Demand Based on Unbalanced Panel Data F. Carlevaro Econometric Modeling and Analysis of Residential Water Demand Based on Unbalanced Panel Data Новинка

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This paper develops an econometric methodology devised to analyze a sample of time unbalanced panel data on residential water consumption in the French island La Reunion with the purpose to bring out the main determinants of household water consumption and estimate the importance of water consumption by uses. For this purpose, we specify a daily panel econometric model and derive, by performing a time aggregation, a general linear regression model accounting for water consumption data recorded on periods of any calendar date and time length. To estimate efficiently the parameters of this model we develop a feasible two step generalized least square method. Using the principle of best linear unbiaised prediction, we finally develop an approach allowing to consistenly break down the volume of water consumption recorded on household water bills by uses, namely by enforcing this estimated decomposition to add up to the observed total. The application of this methodology to a sample of 437 unbalanced panel observations shows the scope of this approach for the empirical analysis of actual data.

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Cluster or co-cluster analyses are important tools in a variety of scientific areas. The introduction of this book presents a state of the art of already well-established, as well as more recent methods of co-clustering. The authors mainly deal with the two-mode partitioning under different approaches, but pay particular attention to a probabilistic approach. Chapter 1 concerns clustering in general and the model-based clustering in particular. The authors briefly review the classical clustering methods and focus on the mixture model. They present and discuss the use of different mixtures adapted to different types of data. The algorithms used are described and related works with different classical methods are presented and commented upon. This chapter is useful in tackling the problem of co-clustering under the mixture approach. Chapter 2 is devoted to the latent block model proposed in the mixture approach context. The authors discuss this model in detail and present its interest regarding co-clustering. Various algorithms are presented in a general context. Chapter 3 focuses on binary and categorical data. It presents, in detail, the appropriated latent block mixture models. Variants of these models and algorithms are presented and illustrated using examples. Chapter 4 focuses on contingency data. Mutual information, phi-squared and model-based co-clustering are studied. Models, algorithms and connections among different approaches are described and illustrated. Chapter 5 presents the case of continuous data. In the same way, the different approaches used in the previous chapters are extended to this situation. Contents 1. Cluster Analysis. 2. Model-Based Co-Clustering. 3. Co-Clustering of Binary and Categorical Data. 4. Co-Clustering of Contingency Tables. 5. Co-Clustering of Continuous Data. About the Authors Gérard Govaert is Professor at the University of Technology of Compiègne, France. He is also a member of the CNRS Laboratory Heudiasyc (Heuristic and diagnostic of complex systems). His research interests include latent structure modeling, model selection, model-based cluster analysis, block clustering and statistical pattern recognition. He is one of the authors of the MIXMOD (MIXtureMODelling) software. Mohamed Nadif is Professor at the University of Paris-Descartes, France, where he is a member of LIPADE (Paris Descartes computer science laboratory) in the Mathematics and Computer Science department. His research interests include machine learning, data mining, model-based cluster analysis, co-clustering, factorization and data analysis. Cluster Analysis is an important tool in a variety of scientific areas. Chapter 1 briefly presents a state of the art of already well-established as well more recent methods. The hierarchical, partitioning and fuzzy approaches will be discussed amongst others. The authors review the difficulty of these classical methods in tackling the high dimensionality, sparsity and scalability. Chapter 2 discusses the interests of coclustering, presenting different approaches and defining a co-cluster. The authors focus on co-clustering as a simultaneous clustering and discuss the cases of binary, continuous and co-occurrence data. The criteria and algorithms are described and illustrated on simulated and real data. Chapter 3 considers co-clustering as a model-based co-clustering. A latent block model is defined for different kinds of data. The estimation of parameters and co-clustering is tackled under two approaches: maximum likelihood and classification maximum likelihood. Hard and soft algorithms are described and applied on simulated and real data. Chapter 4 considers co-clustering as a matrix approximation. The trifactorization approach is considered and algorithms based on update rules are described. Links with numerical and probabi
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