Center for Business Analytics Data Mining Competition The Center for Business Analytics is sponsoring a Data Mining (CBA-DM) Competition. CBA-DM is an undergraduate student-only competition intended to challenge students as they apply Data Mining prediction models to a complex big data application. Time Line and Due Dates October 7 November 17 December 1 December 5 December 6 December 8 December 15 Spring 2015 TBD Kick-off event with Business Analytics Society First day of competition – First set of data is available Second round of data is available Teams self-report error rates Mid-competition Leader Board is available Third and final round of data is available. This is the test data set Final predictions are due Center for Business Analytics Networking Reception. CBA-DM prizes awarded Rules 1. All team members must be current undergraduate Villanova University students enrolled in at least one class at the university. 2. One person can enter the competition but we recommend that your team be comprised of 2-5 students with a maximum of 6 students. All deadlines must be met by the due date before 11:59 pm. All submissions after the final deadline will be disqualified, regardless of round or circumstance. No exceptions will be made for deadlines. The team must abide by the Villanova University Code of Ethics. Any team found in violation of this code will be disqualified from the competition. Judging Criteria Teams will only be judged on their final predictions. The team with the lowest error rate , as measured by root mean square error, when predicting the test data will be awarded first place. Likewise, second and third place will be the teams with the second and third lowest error rates. Prizes All prizes are funded by the Center for Business Analytics. First Prize $2000 Second Prize $1000 Third Prize $500 Award money will be shared equally among winning team members and will be given at the Center for Business Analytics 2015 Spring Networking Reception. Need more information? Contact Dr. Strandberg, [email protected]