Portada

SOFT COMPUTING FOR DATA MINING APPLICATIONS IBD

SPRINGER
10 / 2010
9783642101250
Inglés

Sinopse

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.

PVP
332,03