Data mining : multimedia, soft computing, and bioinformatics / Sushmita Mitra, Tinku Acharya.
By: Mitra, Sushmita
Contributor(s): Acharya, TinkuMaterial type: TextLanguage: 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
|Item type||Current location||Collection||Call number||Copy number||Status||Date due||Barcode||Item holds|
|E-Book||EWU Library E-book||Non-fiction||005.7 MID 2004 (Browse shelf)||Not for loan|
|Text||EWU Library Reserve Section||Non-fiction||005.7 MID 2004 (Browse shelf)||C-1||Not For Loan||16380|
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|005.453 AHC 2999 Compilers :||005.55 ACG A gentle introduction to Stata /||005.7 BED 1997 Data mining techniques :||005.7 MID 2004 Data mining :||005.71 STD 1997 Data and computer communications /||005.71 STD 2000 Data and computer communications /||005.71 STD 2007 Data and computer communications /|
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.
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