Work

A Learning Algorithm for Episodes

Year: 2017

Type: conference-paper

Abstract: 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.

Source: HAL

Authors: Obry, Tom, Subias, Audine, Travé-Massuyès, Louise

Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes, Institut National des Sciences Appliquées de Toulouse, Université de Toulouse

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4300722428

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