The Data Mining and Knowledge Discovery Handbook

By:

Maimon, Odd

Contributor(s):

Rokach, Lior

Publication details: New Delhi : Springer, 2009.Description: 1383 pages : ill.; 24 cmISBN:

9788184891393

Subject(s):

DDC classification:

006.312 MAI

Contents:

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.-

Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Gratis, Gifts	IIITDM Kurnool General Stacks	Non-fiction	006.312 MAI (Browse shelf(Opens below))	Available		G000088

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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.

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