Soft Computing for Knowledge Discovery and Data Mining
Publication year: 2008
ISBN: 978-0-387-69935-6
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The first three parts of this book are devoted to the principal constituents of soft computing: neural networks, evolutionary algorithms and fuzzy logic. The last part compiles the recent advances in soft computing for data mining, such as swarm intelligence, diffusion process and agent technology. This book provides investigators in the fields of information systems, engineering, computer science, operations research, bio-informatics, statistics and management with a profound source for the role of soft computing in data mining.
Subject: Computer Science, Artificial Intelligence, Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Pattern Recognition, Computer Communication Networks, Bayesian network, Clustering, DOM, Support Vector Machine, algorithms, classification, data mining, evolutionary algorithm, fuzzy, genetic programming, information system, intelligence
