A Learning Algorithm for Episodes

Tom Obry (1) , Audine Subias (1) , Louise Travé-Massuyès (1)

1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite

Sequences of events describing the behavior and actions of agents or systems can be collected in several domains. An episode is a collection of events that occur in a given partial order. By performing a recognition of recurrent episodes in several sequences and comparing them, it is possible to determine a pattern common to all the sequences. In this paper, we propose an approach to recognize episodes that are common in a set of event sequences. The method described is applied to the automotive domain for learning diagnosis procedures.

Domaines: Informatique [cs]; Apprentissage [cs.LG]

Tom Obry, Audine Subias, Louise Travé-Massuyès. A Learning Algorithm for Episodes. 28th International Workshop on Principles of Diagnosis (DX 2017), Sep 2017, Brescia, Italy. 5p. ⟨hal-01847561⟩