With the unprecedented rate at which data is being collected today in almost all fields of human endeavor, there is an emerging economic and scientific need to extract useful information from it. Data mining is the process of automatic discovery of patterns, changes, associations, and anomalies in massive databases. This book will provide an introductory survey of the main topics in data mining and knowledge discovery, including: classification, clustering, association rules, sequence similarity, and so on. Emphasis will be laid on performance and implementation issues, as well as on applications such as web mining.
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Data mining is the process of finding useful knowledge from data. This book provides an introduction to the main topics in data mining and knowledge discovery, including: classification, clustering, association rules, and sequence similarity. It emphasizes performance and implementation issues, as well as on applications such as web mining.
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* Graph Theory & Lattices * Association Rules * Sequences *Classification * Clustering * Outlier Detection * Rough Sets * GeneticAlgorithms * HMM & Protein Sequences * Web Mining
Produktdetaljer
ISBN
9780387953151
Publisert
2006-12-01
Utgiver
Vendor
Springer-Verlag New York Inc.
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
340
Forfatter