Section: New Results

NTGSP: Mining Negative Temporal Patterns

Participants: K. Tsesmeli, M. Boumghar, T. Guyet, R. Quiniou, L. Pierre

In [14] the authors study the problem of extracting frequent patterns containing positive events, negative events specifying the absence of events as well as temporal information on the delay between these events. [14] defines the semantics of such patterns and proposes the NTGSP method based on state-of-the-art approaches. The performance of the method is evaluated on commercial data provided by EDF (Électricité de France).