Soft computing for data mining applications

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the fields of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow exponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is stored is growing at a phenomenal rate. As a result, traditional adhoc mixtures of statistical techniques and data management tools are no longer adequate for analyzing this vast collection of data. Recent research in the fields of Data Mining in combination with Soft Computing methodologies State-of-the-art technology in data mining INDICE: Introduction.- 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.- DataMining based Query Processing using Rough Sets and Gas.- Hashing the Web for better Reorganization.- Algorithms forWeb Personalization.- Classifying ClusteredWebpages for Effective Personalization.- Mining Top - k RankedWebpages 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.

• ISBN: 978-3-642-00192-5
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 350
• Fecha Publicación: 01/03/2009
• Nº Volúmenes: 1
• Idioma: Inglés