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Discovering workflow transactional behavior from event-based log

  • LORIA Laboratoire Lorrain de Recherche en Informatique et ses Applications

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Résumé

Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover transactional workflow that cannot be seen at the level of behavioral aspects of workflow. Their limitations mainly come from their incapacity to discover the transactional dependencies between process activities, or activities transactional properties. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event logs. We propose an algorithm to discover workflow patterns and workflow termination states (WTS). Then based on the discovered control flow and set of termination states, we use a set of rules to mine the workflow transactional behavior.

langue originaleAnglais
titreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
rédacteurs en chefRobert Meersman, Zahir Tari, Wil van der Aalst, Christoph Bussler, Avigdor Gal, Vinny Cahill, Steve Vinoski, Werner Vogels, Tiziana Catarci, Katia Sycara
EditeurSpringer Verlag
Pages3-18
Nombre de pages16
ISBN (imprimé)9783540304685
Les DOIs
étatPublié - 1 janv. 2004
Modification externeOui

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3290
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

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