Data mining : multimedia, soft computing, and bioinformatics / Sushmita Mitra, Tinku Acharya.
Material type:
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 005.7 MID 2004 (Browse shelf(Opens below)) | Not for loan | ||||
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 005.7 MID 2004 (Browse shelf(Opens below)) | C-1 | Not For Loan | 16380 |
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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