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Maimon, Odd

The Data Mining and Knowledge Discovery Handbook - New Delhi : Springer, 2009. - ill.; 1383 pages : 24 cm.

Part I Preprocessing methods.- Part II Supervised methods.- Part III Unsupervised methods.- Part IV Soft computing methods.- Part V Supporting methods.- Part VI Advanced methods.- Part VII Applications.- Part VIII Software.-

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." "Data Mining and Knowledge Discovery Handboook is designer for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

ISBN: 9788184891393

Subjects--Topical Terms:
Data mining
Knowledge acquisition (Expert systems)
Computer science
Database management
Information storage and retrieval systems
Artificial intelligence
Multimedia systems
Computer networks

Dewey Class. No.: 006.312 / MAI