SePaDec : Declarative approaches for Sequential Pattern mining

Participants : Benjamin Negrevergne, Thomas Guyet, Ahmed Samet, Alexandre Termier.

The SePaDec project is funded by the Region Bretagne. It aims at exploring the application of declarative pattern mining (more especially ASP) in the field of care pathway analysis. The first objective was to model knowledge from the data to enrich the raw data with medical expert knowledge and to develop a toolbox that smoothly integrates both expert knowledge and declarative pattern mining.