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Data mining : concepts and techniques / Jiawei Han, Micheline Kamber.

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"Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text...

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Bibliographic Details
Main Author: Han, Jiawei
Other Authors: Kamber, Micheline
Format: Book
Language:English
Published: Amsterdam ; Boston : San Francisco, CA : Elsevier ; Morgan Kaufmann, ©2006.
Edition:2nd ed.
Series:Morgan Kaufmann series in data management systems.
Subjects:
Data mining.
Data Mining.
Table of Contents:
  • Introduction
  • Data preprocessing
  • Data warehouse and OLAP technology : an overview
  • Data cube computation and data generalization
  • Mining frequent patterns, associations, and correlations
  • Classification and prediction
  • Cluster analysis
  • Mining stream, time-series, and sequence data
  • Graph mining, social network analysis, and multirelational data mining
  • Mining object, spatial, multimedia, text, and web data
  • Applications and trends in data mining
  • Appendix. An introduction to Microsoft's OLE DB for data mining.

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