2012 Top10DataMiningCaseStudies

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