CART Related News
Salford Systems Wins the KDDCup 2000 Data Mining/Web Mining Competition
30 March, 2002
Salford Systems Wins the KDDCup 2000 Data Mining/Web Mining Competition
Using the latest versions of CART and MARS, Salford Systems was a winner in this year's international data mining competition organized by the ACM (Association for Computing Machinery), the School of Electrical and Computer Engineering, Purdue University, and Blue Martini Software. Competing against a world class field which included most of the best known firms in data mining they were able to come in first by combining a decade of data mining experience with CART and MARS.
The two-month long competition involved intensive analysis of the clickstream and customer data of an e-commerce retail web site. Contestants were provided data from February and March of this year and were asked to apply their models against the April clickstream. Models were designed to support web-site personalization and to improve the profitability of the site by increasing customer response. Salford Systems won in the category of identifying and characterizing the most valuable customers using Salford Systems CART, MARS, HotSpotDetector and TreeNet software.
For more information about KDDCup 2000 see http://www.ecn.purdue.edu/KDDCUP