A good competition task should be practically useful, challenging, not require extensive domain knowledge, and have objective evaluated function. Of particular interest are non-traditional tasks/data that require novel techniques and/or thoughtful feature construction.
19th ACM SIGKDD Knowledge Discovery
and Data Mining Conference
KDD-Cup 2013 Call For Proposals
This is the official call for proposals for the KDD Cup 2013 competition. The KDD Cup is the well known data mining competition of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD-2013 conference will be held in Chicago from August 11 - 14, 2013. The competition will last between 6 and 8 weeks and the winners should be notified by end-June. The winners will be announced in the KDD-2013 conference and we are planning to run a workshop as well.
A good competition task is one that is practically useful, scientifically or technically challenging, can be done without extensive application domain knowledge, and can be evaluated objectively. Of particular interest are non-traditional tasks/data that require novel techniques and/or thoughtful feature construction.
Proposals should involve data and a problem whose successful completion will result in a contribution of some lasting value to a field or discipline. You may assume that Kaggle will provide the technical support for running the contest. The data needs to be available no later than mid-March.
If you have initial questions about the suitability of your data/problem feel free to reach out to
claudia.perlich [at] gmail.com.
For more information, visit