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Conference Papers Year : 2005

Mining Workflow Patterns through Event-data Analysis


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.
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inria-00000484 , version 1 (22-10-2005)



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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