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Intelligent data analysis : an introduction / editors, Michael Berthold, David J. Hand.

Contributor(s): Material type: TextTextPublisher: Berlin ; New York : Springer, [2003]Copyright date: ©2003Edition: Second revised and extended editionDescription: xi, 514 pages : illustrations (some colour) ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 3540430601
  • 9783540430605
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276 .I565 2003
Contents:
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 -- App. A. Tools.
Summary: "This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve 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 approaches and Support Vector Machines. 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 chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas."--Publisher description.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.5 INT (Browse shelf(Opens below)) 1 Available A455981B
Book City Campus City Campus Main Collection 519.5 INT (Browse shelf(Opens below)) 1 Available A455755B

Includes bibliographical references (pages 474-514) and index.

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 -- App. A. Tools.

"This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve 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 approaches and Support Vector Machines. 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 chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas."--Publisher description.

Machine converted from AACR2 source record.

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