Not Logged In

Top-10 Data Mining Case Studies

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.

Citation

G. Melli, X. Wu, P. Beinat, F. Bonchi, L. Cao, R. Duan, C. Faloutsos, R. Ghani, B. Kitts, B. Goethals, G. McLachlan, J. Pei, A. Srivastava, O. Zaiane. " Top-10 Data Mining Case Studies". International Journal of Information Technology and Decision Making, 11(2), pp 389-400, March 2012.

Keywords: Data mining, cost-benefit analysis, case study
Category: In Journal
Web Links: World Scientific

BibTeX

@article{Melli+al:12,
  author = {Gabor Melli and Xindong Wu and Paul Beinat and Francesco Bonchi and
    Longbing Cao and Rong Duan and Christos Faloutsos and Rayid Ghani and
    Brendan Kitts and Bart Goethals and Geoff J. McLachlan and Jian Pei and
    Ashok Srivastava and Osmar R. Zaiane},
  title = { Top-10 Data Mining Case Studies},
  Volume = "11",
  Number = "2",
  Pages = {389-400},
  journal = {International Journal of Information Technology and Decision
    Making},
  year = 2012,
}

Last Updated: October 31, 2019
Submitted by Sabina P

University of Alberta Logo AICML Logo