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Domain Driven Data Mining (2010)

Contributor(s): Cao, Longbing (Author), Yu, Philip S (Author), Zhang, Chengqi (Author), Zhao, Yanchang (Author)

ISBN: 9781489985071

Publisher: Springer

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Pub Date: December 3, 2014

Dewey: 658.056312

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.56" H x 9.21" L x 6.14" W ( 0.83 lbs) 248 pages

Descriptions, Reviews, etc.

Description:

This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.

Review Quotes:

From the reviews:

"This book offers a comprehensive discussion of domain-driven data mining (D3M), a set of techniques and methodologies that aim to discover actionable knowledge that can be presented to business decision makers in order to enable them to make informed decisions. ... The resulting approach is an exploration of possibilities for enhancing the decision-support power of data mining and knowledge discovery. ... This well-written and practical book summarizes domain-specific problem-solving methods for the delivery of actionable knowledge, and is suitable for researchers and students ... ." (Alessandro Berni, ACM Computing Reviews, November, 2010)

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