Soft Computing for Data Mining Applications - Venugopal, K. R.; Srinivasa, K.G.; Patnaik, L. M.; SpringerLink (Online service) (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009)
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.
Keywords: Computer-aided engineering; Applied mathematics; Engineering mathematics; Artificial intelligence; Computer-Aided Engineering (CAD, CAE) and Design; Mathematical and Computational Engineering; Artificial Intelligence