DocumentCode :
1680313
Title :
Mining Workflow Patterns through Event-Data Analysis
Author :
Gaaloul, Walid ; Alaoui, Sadek ; Baïna, Karim ; Godart, Claude
Author_Institution :
LORIA - INRIA - CNRS
fYear :
2005
Firstpage :
226
Lastpage :
229
Abstract :
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.
Keywords :
workflow mining; workflow patterns; workflow supported collaboration; Collaborative work; Conferences; Internet; Pattern analysis; Routing; Statistical analysis; Unified modeling language; workflow mining; workflow patterns; workflow supported collaboration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications and the Internet Workshops, 2005. Saint Workshops 2005. The 2005 Symposium on
Print_ISBN :
0-7695-2263-7
Type :
conf
DOI :
10.1109/SAINTW.2005.1620017
Filename :
1620017
Link To Document :
بازگشت