2012 Top10DataMiningCaseStudies

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Subject Headings: Data Mining Case Study.


Cited By



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



 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2012 Top10DataMiningCaseStudiesGabor Melli
Christos Faloutsos
Bart Goethals
Jian Pei
Osmar R. Zaïane
Rayid Ghani
Xindong Wu
Brendan Kitts
Francesco Bonchi
Ashok N. Srivastava
Longbing Cao
Paul Beinat
Rong Duan
Geoff Mclachlan
Top-10 Data Mining Case Studies