Data Mining for Business Applications
Longbing Caoโ ยท Philip S. Yuโ ยท Chengqi Zhangโ ยท Huaifeng Zhangโ
ืืืงืณ 2008 ยท Springer Science & Business Media
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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 โdata-centered pattern miningโ to โdomain driven actionable knowledge discoveryโ 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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