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Following the successes of the 10 Challenging Problems in Data Mining Research at ICDM '05 and the Top 10 Algorithms in Data Mining at ICDM '06 and as part of the 10 year celebration of IEEE's International Conference on Data Mining series (ICDM), the Top-10 Data Mining Case Studies panel at ICDM'10 will present the top 10 data mining case studies submissions by ten of the top data miners in the field.
The panel's objective is to highlight data mining implementations that have made a significant impact in order to help the community to set a baseline for the success criteria of a successful contemporary data mining application that practitioners can use to improve their deployments, and for data mining researchers to push the state of the art. The moderated panel will take place on December 17th at the 10th IEEE International Conference on Data Mining (ICDM'10).
Detailed information about the panel, submission procedure and dates can be found at
datamining.it.uts.edu.au/icdm10/index.php/call-for/call-for-case-studies