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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