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KDD Cup 1998: General Information

KDD-CUP is a knowledge discovery and data mining (KDDM) tools competition held in conjunction with the Fourth International Conference on Knowledge Discovery and Data Mining.

Last year, the KDD-CUP-97 enjoyed worldwide participation of 45 data mining tools. The Gold Miner award was jointly shared by UCSD's BNB (Boosted Naive Bayes Classifier) software and Urban Science's GainSmarts software. SGI's MineSet was the runner-up and has earned the Bronze Miner award. More information on KDD-CUP-97 can be found here. Some of the highlights from last year's competition are as follows:
  • The success of the Naive Bayes algorithm (used by 2 of the top 3 contestants)
  • No clear evidence backing the hypothesis that there are "real" returns to incremental data preprocessing activity.
KDD-CUP-98 will follow on the success of last year's competition. The CUP is again open to all KDDM tool vendors, academics with research prototypes and corporations with significant applications. Attendance of the KDD-98 conference is not required to participate in the CUP.