Chapman & Hall/CRC Computer Science & Data Analysis

New and Published Books

1-10 of 20 results in Chapman & Hall/CRC Computer Science & Data Analysis

1. Clustering

   A Data Recovery Approach, Second Edition

   By Boris Mirkin

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   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...

   Published October 16th 2012 by Chapman and Hall/CRC
2. Dimensionality Reduction

   By Miguel A. Carreira-Perpinan

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   Dimensionality reduction (DR) refers to the problem of projecting high-dimensional data onto a low-dimensional manifold so that relevant information is preserved. DR arises in many application areas where direct processing of the data is too costly. Through a machine-learning perspective that...

   Published June 14th 2012 by Chapman and Hall/CRC
3. Statistical Learning and Data Science

   Edited by Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, Myriam Touati

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   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...

   Published December 18th 2011 by Chapman and Hall/CRC
4. Exploratory Data Analysis with MATLAB, Second Edition

   By Wendy L. Martinez, Angel Martinez, Jeffrey Solka

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   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...

   Published December 15th 2010 by CRC Press
5. Bayesian Artificial Intelligence, Second Edition

   By Kevin B. Korb, Ann E. Nicholson

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   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...

   Published December 15th 2010 by CRC Press
6. Exploratory Multivariate Analysis by Example Using R

   By Francois Husson, Sebastien Le, Jerome Pages

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

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

   Published November 14th 2010 by CRC Press
7. Microarray Image Analysis

   An Algorithmic Approach

   By Karl Fraser, Zidong Wang, Xiaohui Liu

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   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...

   Published January 24th 2010 by Chapman and Hall/CRC
8. Introduction to Data Technologies

   By Paul Murrell

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   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...

   Published February 22nd 2009 by Chapman and Hall/CRC
9. Interactive Graphics for Data Analysis

   Principles and Examples

   By Martin Theus, Simon Urbanek

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. Fundamentals of Interactive Statistical GraphicsThe first part of...

   Published October 23rd 2008 by Chapman and Hall/CRC
10. R Programming for Bioinformatics

    By Robert Gentleman

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    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...

    Published July 13th 2008 by Chapman and Hall/CRC