Data Mining for Business Applications
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Data Mining for Business Applications
Data Mining for
Business Applications
Data Mining for Business
Applications presents the state-of-the-art research and development
outcomes on methodologies, techniques, approaches and successful
applications in the area. The contributions mark a paradigm shift from
“data-centered pattern mining” to “domain driven actionable knowledge
discovery” for next-generation KDD research and applications. The
contents identify how KDD techniques can better contribute to critical
domain problems in theory and practice, and strengthen business
intelligence in complex enterprise applications. The volume also
explores challenges and directions for future research and development
in the dialogue between academia and business.
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Business Applications
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Data
Mining for Business Applications
Springer 2008 | ISBN-10:
0387794190 | 302 Pages | PDF | 10,6 MB
Data
Mining for Business Applications
Springer 2008 | ISBN-10:
0387794190 | 302 Pages | PDF | 10,6 MB
Data Mining for Business
Applications presents the state-of-the-art research and development
outcomes on methodologies, techniques, approaches and successful
applications in the area. The contributions mark a paradigm shift from
“data-centered pattern mining” to “domain driven actionable knowledge
discovery” for next-generation KDD research and applications. The
contents identify how KDD techniques can better contribute to critical
domain problems in theory and practice, and strengthen business
intelligence in complex enterprise applications. The volume also
explores challenges and directions for future research and development
in the dialogue between academia and business.
[Vous devez être inscrit et connecté pour voir ce lien]
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