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

By: Mitra, Sushmita, 1962-Contributor(s): Acharya, TinkuMaterial type: TextTextLanguage: English Publication details: Singapore : John Wiley, 2004. Description: 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:
TOC 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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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book 		Non-fiction 005.7 MID 2004 (Browse shelf(Opens below)) Not for loan
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section 		Non-fiction 005.7 MID 2004 (Browse shelf(Opens below)) C-1 Not For Loan 16380
Total holds: 0

Includes bibliographical references and index.

TOC 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.

CSE

Tahur Ahmed

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