Intelligent Data Analysis: An Introduction Hardcover - 2003
by Michael R. Berthold (Editor); David J. Hand (Editor)
First line
It must be obvious to everyone - to everyone who is reading this book, at least -that progress in computer technology is radically altering human life.
From the rear cover
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The 12 coherently written chapters by leading experts provide complete coverage of the core issues.
The previous edition was completely revised and a new chapter on kernel methods and support vector machines and a chapter on visualization techniques were added. The revised chapters from the original edition cover classical statistics issues, ranging from the basic concepts of probability through general notions of inference to advanced multivariate and time-series methods, and provide a detailed discussion of the increasingly important Bayesian approaches. The remaining chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas.
The second edition features an extensive index, which makes this volume also useful as a quick reference on the key techniques in intelligent data analysis.
Details
- Title Intelligent Data Analysis: An Introduction
- Author Michael R. Berthold (Editor); David J. Hand (Editor)
- Binding Hardcover
- Edition INTERNATIONAL ED
- Pages 515
- Volumes 1
- Language ENG
- Publisher Springer, Secaucus, New Jersey, U.S.A.
- Date 2003-03-19
- Illustrated Yes
- Features Illustrated
- ISBN 9783540430605 / 3540430601
- Weight 1.85 lbs (0.84 kg)
- Dimensions 9.57 x 6.38 x 1.32 in (24.31 x 16.21 x 3.35 cm)
- Library of Congress Catalog Number 2003041211
- Dewey Decimal Code 519.5
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