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Published Articles >> Table of Contents >> Abstract
2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)
pp. 226-229
Mining Workflow Patterns through Event-Data Analysis
Walid Gaaloul, LORIA - INRIA - CNRS
Sadek Alaoui, Université Mohammed V - Souissi
Karim Baïna, Université Mohammed V - Souissi
Claude Godart, LORIA - INRIA - CNRS
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SAINTW.2005.81
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| Abstract |
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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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 Additional Information
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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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