An Information Theoretic Framework for Data Mining

Tijl De Bie. An information theoretic framework for data mining. In Proc. of the 17th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD'11), San Diego, August 2011.

Oral presentation at KDD.
(Overall acceptance rate: 17.5%. Acceptance rate for oral presentations: 7.8%.)

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This work was also presented at the Mining Patterns and Subgroups workshop (MPS), November 2010, in the Lorenz Centre in Leiden, where it was awarded with the Best Vision award.