Soft Computing for Data Mining Applications

Soft Computing for Data Mining Applications

K. R. Venugopal / K.G Srinivasa / L. M. Patnaik

332,03 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Diseño asistido por ordenador (CAD)
ISBN:
9783642101250
332,03 €
IVA incluido
Disponible

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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.

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