A bottom-up workflow mining approach for workflow applications analysis

被引：0
作者：
Gaaloul, Walid
Baina, Karim
Godart, Claude
机构：
[1] CNRS, INRIA, UMR 7503, LORIA, F-54506 Vandoeuvre Les Nancy, France
[2] Univ Mohammed 5, ENSIAS, Rabat, Morocco
来源：
DATA ENGINEERING ISSUES IN E-COMMERCE AND SERVICES, PROCEEDINGS | 2006年 / 4055卷
关键词：
workflow mining; workflow patterns; business process analysis; business process intelligence;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex applications will enable them to be well understood, controlled, and redesigned. Our contribution to workflow mining is a statistical technique to discover workflow patterns from event-based log. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results through a dynamic programming algorithm. Those local discovered workflow patterns are then composed iteratively until discovering the global workflow model. Our approach has been implemented within our prototype WorkflowMiner.
引用
收藏
页码：182 / 197
页数：16
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