Soft Computing for Data Mining Applications

Detalles Bibliográficos
Autores principales: Venugopal, K. R. (Autor), Srinivasa, K.G. (Autor), Patnaik, L. M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 190
Materias:
Acceso en línea:https://doi.org/10.1007/978-3-642-00193-2
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245 1 0 |a Soft Computing for Data Mining Applications  |c by K. R. Venugopal, K.G Srinivasa, L. M. Patnaik. 
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490 1 |a Studies in Computational Intelligence,  |v 190 
505 0 |a 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. 
650 0 |a Computer-aided engineering. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer-Aided Engineering (CAD, CAE) and Design. 
650 2 4 |a Mathematical and Computational Engineering. 
650 2 4 |a Artificial Intelligence. 
700 1 |a Srinivasa, K.G.  |e author. 
700 1 |a Patnaik, L. M.  |e author. 
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