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Data mining : multimedia, soft computing, and bioinformatics / Sushmita Mitra, Tinku Acharya.

By: Mitra, Sushmita, 1962-
Contributor(s): Acharya, Tinku
Material type: TextTextLanguage: English Publisher: Singapore : John Wiley, 2004Description: xviii, 401 p. : ill. ; 24 cmISBN: 9780471460541; 0471460540 (Cloth); 9812530630Subject(s): Data miningDDC classification: 005.7 LOC classification: QA76.9.D343 | M58 2003Online resources: Contributor biographical information | Publisher description | Table of contents | Book review (E-STREAMS) | WorldCat details | E-book FullText
Contents:
Table of contents Preface. 1. Introduction to Data Mining. 2. Soft Computing. 3. Multimedia Data Compression. 4. String Matching. 5. Classification in Data Mining. 6. Clustering in Data Mining. 7. Association Rules. 8. Rule Mining with Soft Computing. 9. Multimedia Data Mining. 10. Bioinformatics: An Application. Index. About the Authors.
Summary: Summary: This is an introduction to the data mining technologies with emphasis on soft computing. Most data mining techniques so far have concentrated on flat-file applications. This new resource includes the wide range of available data types, such as images, sound, and graphics.
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book 		Non-fiction 005.7 MID 2004 (Browse shelf) Not for loan
Text Text EWU Library
Reserve Section 		Non-fiction 005.7 MID 2004 (Browse shelf) C-1 Not For Loan 16380
Total holds: 0

Includes bibliographical references and index.

Table of contents Preface. 1. Introduction to Data Mining. 2. Soft Computing. 3. Multimedia Data Compression. 4. String Matching. 5. Classification in Data Mining. 6. Clustering in Data Mining. 7. Association Rules. 8. Rule Mining with Soft Computing. 9. Multimedia Data Mining. 10. Bioinformatics: An Application. Index. About the Authors.

Summary:
This is an introduction to the data mining technologies with emphasis on soft computing. Most data mining techniques so far have concentrated on flat-file applications. This new resource includes the wide range of available data types, such as images, sound, and graphics.

Computer Science & Engineering

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