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WorkflowMiner : An infrastructure for Mining Workflow Patterns

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 : Collaborative applications include considerable processes that are either implicit, or integrate existing processes. The discovery and the explanation of these processes are becoming increasingly important. 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 and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.
Keywords : collaborative applications workflow mining workflow patterns business process reengineering
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Conference papers
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https://hal.inria.fr/inria-00000488
Contributor : Walid Gaaloul <>
Submitted on : Saturday, October 22, 2005 - 11:24:48 AM
Last modification on : Thursday, February 27, 2020 - 2:18:29 PM

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  • HAL Id : inria-00000488, version 1

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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. WorkflowMiner : An infrastructure for Mining Workflow Patterns. 3èmes Journées Nationales sur les Systèmes Intelligents : Théories et Applications - SITA'04, Oct 2004, Rabat, Maroc. ⟨inria-00000488⟩

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