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Soft computing for data mining applications

Author: K R Venugopal; K G Srinivasa; L M Patnaik
Publisher: Berlin : Springer Verlag, ©2009.
Series: Studies in computational intelligence, v. 190.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

This monograph presents recent research in the fields of data mining in combination with soft computing methodologies. It provides valuable research directions in the field of specialization.

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Genre/Form: Aufsatzsammlung
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: K R Venugopal; K G Srinivasa; L M Patnaik
ISBN: 9783642001925 3642001920 3642101259 9783642101250 9783642001932 3642001939
OCLC Number: 310400720
Description: xxii, 341 pages : illustrations ; 24 cm.
Contents: Self Adaptive Genetic Algorithms.- Characteristic Amplification Based Genetic Algorithms.- Dynamic Association Rule Mining Using Genetic Algorithms.- Evolutionary Approach for XML Data Mining.- Soft Computing Based CBIR System.- Fuzzy Based Neuro - Genetic Algorithm for Stock Market Prediction.- Data Mining Based Query Processing Using Rough Sets and GAs.- Hashing the Web for Better Reorganization.- Algorithms for Web Personalization.- Classifying Clustered Webpages for Effective Personalization.- Mining Top - k Ranked Webpages Using SA and GA.- A Semantic Approach for Mining Biological Databases.- Probabilistic Approach for DNA Compression.- Non-repetitive DNA Compression Using Memoization.- Exploring Structurally Similar Protein Sequence Motifs.- Matching Techniques in Genomic Sequences for Motif Searching.- Merge Based Genetic Algorithm for Motif Discovery.
Series Title: Studies in computational intelligence, v. 190.
Responsibility: K.R. Venugopal, K.G. Srinivasa, L.M. Patnaik.
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