
Intelligent Data Analysis
An Introduction
Springer (Publisher)
Published on 8. July 1999
Book
Hardback
IX, 401 pages
978-3-540-65808-5 (ISBN)
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Description
This 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.
More details
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Professional and scholarly
Illustrations
83 s/w Abbildungen, 39 s/w Tabellen
115 figures, 39 tables, index
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Thickness: 25 mm
Weight
700 gr
ISBN-13
978-3-540-65808-5 (9783540658085)
DOI
10.1007/978-3-662-03969-4
Schweitzer Classification
Other editions
New editions

Book
03/2003
2nd Edition
Springer
€181.89
Shipment within 10-15 days
Content
1 Introduction.- 2 Statistical Concepts.- 3 Statistical Methods.- 4 Bayesian Methods.- 5 Analysis of Time Series.- 6 Rule Induction.- 7 Neural Networks.- 8 Fuzzy Logic.- 9 Stochastic Search Methods.- 10 Systems and Applications.- Appendix A: Tools.- A.1 Tools for Statistical Analysis.- A.2 Tools for Exploration / Modeling.- A.3 Data Analysis Suites.- A.4 Conclusions and Future Perspectives.- References.- Author Information.