Section: New Results
Mining Rare Sequential Patterns with ASP
Participants : Ahmed Samet, Thomas Guyet, Benjamin Négrevergne.
This work  presents an approach of meaningful rare sequential pattern mining based on the declarative programming paradigm of Answer Set Programming (ASP). The setting of rare sequential pattern mining is introduced. Our ASP approach provides an easy manner to encode expert constraints on expected patterns to cope with the huge amount of meaningless rare patterns. Encodings are presented and quantitatively compared to a procedural baseline. An application on care pathways analysis illustrates the applicability of our method in the encoding of constraints provided by experts.