Institute for Web Science and Technologies · Universität Koblenz - Landau

Mining Subgroups with Exceptional Transition Behavior

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Dr. Florian Lemmerich

We present a new method for detecting interpretable subgroups with exceptional transition behavior in sequential data. To tackle this task we employ exceptional model mining. This general framework aims at identifying interpretable data subsets that exhibit unusual interactions between a set of target attributes with respect to a certain model class. Although exceptional model mining provides a well-suited framework for our problem, previously investigated model classes cannot capture transition behavior. To that end, we introduce first-order Markov chains as a novel model class for exceptional model mining and present a new interestingness measure that quantifies the exceptionality of transition.

02.06.16 - 10:15
B 016