2012 Top10DataMiningCaseStudies
- (Melli, Wu, et al., 2012) ⇒ Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoff Mclachlan, Jian Pei, Ashok Srivastava, and Osmar Zaïane. (2011). “Top-10 Data Mining Case Studies.” In: International Journal of Information Technology & Decision Making, 11(2). doi: 10.1142/S021962201240007X
Subject Headings: Data Mining Case Study.
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Abstract
We report on the panel discussion held at the ICDM'10 conference on the top 10 data mining case studies in order to provide a snapshot of where and how data mining techniques have made significant real-world impact. The tasks covered by 10 case studies range from the detection of anomalies such as cancer, fraud, and system failures to the optimization of organizational operations, and include the automated extraction of information from unstructured sources. From the 10 cases we find that supervised methods prevail while unsupervised techniques play a supporting role. Further, significant domain knowledge is generally required to achieve a completed solution. Finally, we find that successful applications are more commonly associated with continual improvement rather than by single "aha moments" of knowledge ("nugget") discovery.
Read More: http://www.worldscientific.com/doi/abs/10.1142/S021962201240007X?journalCode=ijitdm
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