Intelligent data analysis : an introduction
著者
書誌事項
Intelligent data analysis : an introduction
Springer, c1999
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注記
Includes bibliographical reference (p. [375]-394) and index
内容説明・目次
内容説明
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The 10 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.
目次
Introduction.- 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.
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