BOOK SERIES


Chapman & Hall/CRC Computer Science & Data Analysis


22 Series Titles

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Exploratory Multivariate Analysis by Example Using R, Second Edition

Exploratory Multivariate Analysis by Example Using R, Second Edition

Forthcoming

Francois Husson, Sebastien Le, Jérôme Pagès
May 02, 2017

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when...

Exploratory Data Analysis with MATLAB, Third Edition

Exploratory Data Analysis with MATLAB, Third Edition

Forthcoming

Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka
April 20, 2017

Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. … accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."—Adolfo Alvarez Pinto, International Statistical Review "...

Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Forthcoming

Fionn Murtagh
April 12, 2017

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…a very useful text and I would certainly use it in...

Music Data Analysis: Foundations and Applications

Music Data Analysis: Foundations and Applications

Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph
November 07, 2016

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects...

Computational Statistics Handbook with MATLAB, Third Edition

Computational Statistics Handbook with MATLAB, Third Edition

Wendy L. Martinez, Angel R. Martinez
December 22, 2015

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB®, Third Edition covers today’s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps...

Statistics in MATLAB: A Primer

Statistics in MATLAB: A Primer

MoonJung Cho, Wendy L. Martinez
December 15, 2014

Fulfilling the need for a practical user’s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB® and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of...

Visualization and Verbalization of Data

Visualization and Verbalization of Data

Jorg Blasius, Michael Greenacre
April 10, 2014

Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their...

Foundations of Statistical Algorithms: With References to R Packages

Foundations of Statistical Algorithms: With References to R Packages

Claus Weihs, Olaf Mersmann, Uwe Ligges
December 09, 2013

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms....

Clustering: A Data Recovery Approach, Second Edition

Clustering: A Data Recovery Approach, Second Edition

Boris Mirkin
October 17, 2012

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods—K-Means for partitioning and Ward's method for hierarchical...

Statistical Learning and Data Science

Statistical Learning and Data Science

Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, Myriam Touati
December 19, 2011

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new...

Exploratory Data Analysis with MATLAB, Second Edition

Exploratory Data Analysis with MATLAB, Second Edition

Wendy L. Martinez, Angel R. Martinez, Wendy L. Martinez, Angel Martinez, Jeffrey Solka
December 16, 2010

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and...

Bayesian Artificial Intelligence, Second Edition

Bayesian Artificial Intelligence, Second Edition

Kevin B. Korb, Ann E. Nicholson
December 16, 2010

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal...

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