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Domain driven data mining

Author: Longbing Cao
Publisher: New York ; London : Springer, ©2010.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
In the present thriving global economy a need has evolved for complex data analysis to enhance an organization's production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Domain driven data mining.
New York ; London : Springer, ©2010
(OCoLC)471801285
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Longbing Cao
ISBN: 9781441957375 1441957375
OCLC Number: 663096803
Description: 1 online resource (xvi, 248 pages) : illustrations
Contents: Challenges and Trends --
Methodology --
Ubiquitous Intelligence --
Knowledge Actionability --
AKD Frameworks --
Combined Mining --
Agent-Driven Data Mining --
Post Mining --
Mining Actionable Knowledge on Capital Market Data --
Mining Actionable Knowledge on Social Security Data --
Open Issues and Prospects --
Reading Materials.
Responsibility: Longbing Cao [and others].

Abstract:

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  Read more...

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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 Read more...

 
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