For the past five years UCSD has run a student datamining contest sponsored by FICO, the decision management firm famous for developing the FICO credit score. The details of the 2009 datamining contest were released last week with results due on 15 July.
“This year’s contest consists of two classification tasks based on e-commerce transaction anomaly data. The first task is to maximize accuracy of binary classification on a test data set, given a fully labeled training data set. The performance metric is the lift at 20% review rate. The second task is similar to task 1, but provides a couple of additional fields that have potential predictive information.”
The contest is open to all full-time undergraduate and graduate students as well as postdocs. A total of $8,000 in prize money will be awarded in various categories.
(spotted on Hacker News)