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.
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 "...
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, ...
Pattern Recognition Algorithms for Data Mining
1st Edition
By Sankar K. Pal, Pabitra Mitra
September 19, 2019
Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and ...
Correspondence Analysis and Data Coding with Java and R
1st Edition
By Fionn Murtagh
September 05, 2019
Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of...
Foundations of Statistical Algorithms: With References to R Packages
1st Edition
By Claus Weihs, Olaf Mersmann, Uwe Ligges
June 19, 2019
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....
Microarray Image Analysis: An Algorithmic Approach
1st Edition
By Karl Fraser, Zidong Wang, Xiaohui Liu
June 14, 2017
To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to...
Introduction to Data Technologies
1st Edition
By Paul Murrell
May 31, 2017
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on ...
Statistics in MATLAB: A Primer
1st Edition
By 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
1st Edition
Edited
By 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 ...
R Programming for Bioinformatics
1st Edition
By Robert Gentleman
July 14, 2008
Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational ...