Mining workflow patterns through event-data analysis

Walid Gaaloul, Sadek Alaoui, Karim Baïna, Claude Godart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 complementary 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.

Original languageEnglish
Title of host publicationProceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
Pages226-229
Number of pages4
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event2005 Symposium on Applications and the Internet Workshops, SAINT2005 - Trento, Italy
Duration: 31 Jan 20054 Feb 2005

Publication series

NameProceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
Volume2005

Conference

Conference2005 Symposium on Applications and the Internet Workshops, SAINT2005
Country/TerritoryItaly
CityTrento
Period31/01/054/02/05

Keywords

  • Workflow mining
  • Workflow patterns
  • Workflow supported collaboration

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