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Data Mining Applications for Empowering Knowledge Societies
By Hakikur Rahman (editor)
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Bibliographic Detail
Publisher Idea Group Reference
Publication date July 31, 2008
Pages 332
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9781599046570
ISBN-10 1599046571
Dimensions 1 by 8.50 by 11 in.
Weight 2.92 lbs.
Original list price $180.00
Summaries and Reviews
Amazon.com description: Product Description: Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign. In reality, data mining is becoming an interdisciplinary field driven by various multi-dimensional applications.

Data Mining Applications for Empowering Knowledge Societies presents an overview on the main issues of data mining, including its classification, regression, clustering, and ethical issues. This comprehensive book also provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Editions
Hardcover
Book cover for 9781599046570
 
The price comparison is for this edition
from Idea Group Reference (July 31, 2008)
9781599046570 | details & prices | 332 pages | 8.50 × 11.00 × 1.00 in. | 2.92 lbs | List price $180.00
About: Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign.
Miscellaneous
Book cover for 9781599046594
 
1 edition from Idea Group Reference (August 27, 2009)
9781599046594 | details & prices | List price $0.04
This edition also contains Data Mining Applications for Empowering Knowledge Societies
About: Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign.

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