Chapman & Hall/CRC Computer Science & Data Analysis
About the Book Series
The interface between the computer and statistical sciences is a rapidly-developing field of research, as each discipline seeks to harness the power and resources of the other. This series aims to capture new developments and summarize what is known over the whole spectrum of computer science and statistics. It seeks to foster the integration of computer science and statistical, numerical and probabilistic methods by publishing a broad range of reference works, textbooks and handbooks.
The scope of the series is wide, including data mining, machine learning, AI, computational stats, exploratory data analysis, pattern recognition, learning theory, statistical software and graphics, graphical models, Bayesian data analysis, and internet data analysis. The titles included in the series are designed to appeal to students, researchers and professionals in computer and information science, statistics, mathematics, and engineering, as well as interdisciplinary researchers across many scientific disciplines. The inclusion of real examples and applications is highly encouraged, as is specific software.
Please contact us if you have an idea for a book for the series.
Bayesian Artificial Intelligence
2nd Edition
By Kevin B. Korb, Ann E. Nicholson
January 21, 2023
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 ...
Exploratory Data Analysis with MATLAB
3rd Edition
By Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka
July 29, 2022
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 "...
Computational Statistics Handbook with MATLAB
3rd Edition
By Wendy L. Martinez, Angel R. Martinez
September 30, 2021
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 ...
Combinatorial Inference in Geometric Data Analysis
1st Edition
By Brigitte Le Roux, Solène Bienaise, Jean-Luc Durand
June 30, 2021
Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of ...
Textual Data Science with R
1st Edition
By Mónica Bécue-Bertaut
June 30, 2021
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by ...
Time Series Clustering and Classification
1st Edition
By Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado
June 30, 2021
The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and...
Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics
1st Edition
By Fionn Murtagh
September 30, 2020
"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 ...
Exploratory Multivariate Analysis by Example Using R
2nd Edition
By Francois Husson, Sebastien Le, Jérôme Pagès
September 30, 2020
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 ...
Chain Event Graphs
1st Edition
By Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith
June 30, 2020
Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of discrete ...
Design and Modeling for Computer Experiments
1st Edition
By Kai-Tai Fang, Runze Li, Agus Sudjianto
June 30, 2020
Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific ...
Music Data Analysis: Foundations and Applications
1st Edition
Edited
By Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph
December 16, 2019
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 ...
Semisupervised Learning for Computational Linguistics
1st Edition
By Steven Abney
September 25, 2019
The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, ...