Introduction to Domain Driven Data Mining

Publisher:
Springer
Publication Type:
Chapter
Citation:
Data Mining for Business Applications, 2009, 1, pp. 3 - 10
Issue Date:
2009-01
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Data Mining for Business Applications presents state-of-the-art data mining research and development related to methodologies, techniques, approaches and successful applications. The contributions of this book mark a paradigm shift from "data-centered pattern mining" to "domain-driven actionable knowledge discovery (AKD)" for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future data mining research and development in the dialogue between academia and business.
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