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--- preferencebasedpatternminingtutorial [2016/09/07 16:53]
mplantev [Tutorial Description]
+++ preferencebasedpatternminingtutorial [2016/09/07 16:53]
mplantev [Content]
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 the pattern mining task to an optimization problem.
+However, all of the above approaches assume that preferences are explicit and
+given in the process. In practice, the user has only a vague idea of what useful
+patterns could be and there is a need to elicit preferences. The recent research
+field of interactive pattern mining relies on the automatic acquisition of these
+preferences. Basically, its principle is to repeat a short mining loop centered
+on the user. At each iteration, only some patterns are mined and the user has to
+indicate those that are relevant (by liking/disliking, rating, ranking). The
+user feedback improves an automatically learned model of preferences that will
+refine the pattern mining step in the next iteration. A great advantage is the user
+does not have to explicit her preference model. In addition, each iteration is fast
+and it does not overwhelm the user with a huge collection of patterns impossible
+to analyze. Interestingly, this mining process raises new challenges: what
+user feedback to capture? How to elicit a preference model? How to instantly
+mine patterns based on preferences?

Marc Plantevit