Mining Workflow Recovery From Event Based Logs - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2005

Mining Workflow Recovery From Event Based Logs

Walid Gaaloul
Claude Godart
  • Fonction : Auteur
  • PersonId : 830462
  • IdRef : 031091733

Résumé

Handling workflow transactional behavior remains a main problem to ensure a correct and reliable execution. It is obvious that the discovery, and the explanation of this behavior, would enable to better understand and control workflow recovery. Unfortunately, previous workflow mining works have concentrated their efforts on control flow aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover workflow transactional behavior. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event based logs. First, we propose an algorithm to discover workflow patterns. Then, we propose techniques to discover activities transactional dependencies that allow us to mine workflow recovery techniques. Finally, based on this mining step, we use a set of rules to improve workflow design.

Dates et versions

inria-00000482 , version 1 (22-10-2005)

Identifiants

Citer

Walid Gaaloul, Claude Godart. Mining Workflow Recovery From Event Based Logs. Third International Conference on Business Process Management - BPM'05, Sep 2005, Nancy, France., pp.169-185, ⟨10.1007/11538394_12⟩. ⟨inria-00000482⟩
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