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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