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Intelligent Data Analysis : An Introduction by David J. Hand and Michael Berthold (1999, Hardcover)
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Intelligent Data Analysis: An Introduction by David J. Hand, Michael Berthold GL1
- Buy It NowIntelligent Data Analysis: An Introduction by David J. Hand, Michael Berthold GL
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About this product
Product Identifiers
PublisherSpringer
ISBN-103540658084
ISBN-139783540658085
eBay Product ID (ePID)936732
Product Key Features
Number of PagesIX, 400 Pages
LanguageEnglish
Publication NameIntelligent Data Analysis : an Introduction
Publication Year1999
SubjectProbability & Statistics / General, Intelligence (Ai) & Semantics, System Administration / Storage & Retrieval
TypeTextbook
AuthorDavid J. Hand, Michael Berthold
Subject AreaMathematics, Computers
FormatHardcover
Dimensions
Item Height0.4 in
Item Weight24.7 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN99-023777
Dewey Edition21
IllustratedYes
Dewey Decimal519.5
Table Of ContentIntroduction.- Statistical Concepts.- Statistical Methods.- Bayesian Methods.- Analysis of Time Series.- Rule Induction.- Neural Networks.- Fuzzy Logic.- Stochastic Search Methods.- Systems and Applications.- Appendix A: Tools.- References.- Index.- Author Information.
SynopsisThis is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The first part of the book discusses classical statistical issues. The following chapters concentrate on 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 process and illustrations of its application., This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approach. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into 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 process and illustrations of the breadth of application of the ideas.
LC Classification NumberQA276.B4255 1999
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