RARE ASSOCIATION RULE MINING AND KNOWLEDGE DISCOVERY by Yun Sing Koh (Editor), Nathan Rountree (Editor) ( 9781605667546 )

Item Details

Title:

RARE ASSOCIATION RULE MINING AND KNOWLEDGE DISCOVERY
TECHNOLOGIES FOR INFREQUENT AND CRITICAL EVENT DETECTION

By:

Yun Sing Koh (Editor), Nathan Rountree (Editor)

Format:

Hardback

List price:	£180.00
We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10:

1605667544

ISBN 13:

9781605667546

Publisher:

IGI GLOBAL

Pub. date:

15 August, 2009

Pages:

320

Description:

The growing complexity and volume of modern databases make it important for researchers and practitioners involved with association rule mining to make sense of the information they contain. This book provides readers with a compendium of issues, trends, and technologies in association rule mining.

Synopsis:

The growing complexity and volume of modern databases make it increasingly important for researchers and practitioners involved with association rule mining to make sense of the information they contain. "Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection" provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining. Covering a comprehensive range of topics, this book discusses underlying frameworks, mining techniques, interest metrics, and real-world application domains within the field.

Illustrations:

1, black & white illustrations

Publication:

Imprint:

Information Science Reference

Returns:

Non-returnable

Some other items by this author:

BIOLOGICALLY-INSPIRED TECHNIQUES FOR KNOWLEDGE DISCOVERY AND DATA MINING

RARE ASSOCIATION RULE MINING AND KNOWLEDGE DISCOVERY: TECHNOLOGIES FOR INFREQUENT AND CRITICAL EVENT DETECTION

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