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2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)
Mining Workflow Patterns through Event-Data Analysis
Trento, Italy
January 31-February 04
ISBN: 0-7695-2263-7
Walid Gaaloul, LORIA - INRIA - CNRS
Sadek Alaoui, Université Mohammed V - Souissi
Karim Baïna, Université Mohammed V - Souissi
Claude Godart, LORIA - INRIA - CNRS
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.
Index Terms:
workflow supported collaboration, workflow patterns, workflow mining
Citation:
Walid Gaaloul, Sadek Alaoui, Karim Baïna, Claude Godart, "Mining Workflow Patterns through Event-Data Analysis," saint-w, pp.226-229, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 2005
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