Towards Mining Structural Workflow Patterns

Walid Gaaloul 1 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 information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based on a workflow mining technique. Workflow mining proposes techniques to acquire a workflow model from a workflow log. Mining of workflow patterns is done by a statistical analysis of log-based event. Our approach is characterised by a “local” workflow patterns discovery that allows to cover partial results and a dynamic technique dealing with concurrency.
Keywords : workflow patterns workflow mining business process reengineering
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Conference papers
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https://hal.inria.fr/inria-00000483
Contributor : Walid Gaaloul <>
Submitted on : Saturday, October 22, 2005 - 11:11:05 AM
Last modification on : Thursday, January 11, 2018 - 6:19:48 AM

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Walid Gaaloul, Karim Baïna, Claude Godart. Towards Mining Structural Workflow Patterns. 16th International Conference on Database and Expert Systems Applications DEXA'05, Aug 2005, Copenhagen, Denmark. pp.24-33, ⟨10.1007/11546924_3⟩. ⟨inria-00000483⟩

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