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Mining Workflow Patterns through Event-data Analysis

Walid Gaaloul 1 Sadek Alaoui 2 Karim Baïna 2 Claude Godart 1
1 ECOO - Environment for cooperation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 ENSIAS - Ecole Nationale Supérieure d'Informatique et d'Analyses des Systèmes
Abstract : It is obvious to notice that in collaborative applications, considerable processes are either implicit, or integrate existing processes. The discovery, and the explanation of these processes are a hot research topic. The work described in this paper is a contribution to these problems. Generally, workflow mining proposes techniques to acquire a workflow model from a workflow log. In this paper, we present a new workflow mining technique to discover workflow patterns. This technique combines complementarily an algorithmic technique and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.
Keywords : workflow supported collaboration workflow patterns workflow mining
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Conference papers
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https://hal.inria.fr/inria-00000484
Contributor : Walid Gaaloul <>
Submitted on : Saturday, October 22, 2005 - 11:15:01 AM
Last modification on : Thursday, February 27, 2020 - 2:18:28 PM

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INRIA | CNRS | LORIA | UNIV-LORRAINE | TSP-DISSEM | TSP-DIEGO

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Walid Gaaloul, Sadek Alaoui, Karim Baïna, Claude Godart. Mining Workflow Patterns through Event-data Analysis. International Symposium on Applications and the Internet - SAINT 2005. Workshop 6: Teamware: Supporting Scalebable Virtual Teams in Multi-organizational Settings, Jan 2005, Trento, Italy, pp.226- 229, ⟨10.1109/SAINTW.2005.1620017⟩. ⟨inria-00000484⟩

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