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Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet conc...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Maimon, Oded. (Editor, http://id.loc.gov/vocabulary/relators/edt), Rokach, Lior. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2005.
Edition:1st ed. 2005.
Subjects:
Data mining.
Database management.
Information storage and retrieval.
Computer communication systems.
Multimedia information systems.
Data structures (Computer science).
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Computer Communication Networks.
Multimedia Information Systems.
Data Storage Representation.
Online Access:https://doi.org/10.1007/b107408
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https://doi.org/10.1007/b107408

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