Discovering workflow transactional behavior from event-based log

Walid Gaaloul, Sami Bhiri, Claude Godart

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover transactional workflow that cannot be seen at the level of behavioral aspects of workflow. Their limitations mainly come from their incapacity to discover the transactional dependencies between process activities, or activities transactional properties. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event logs. We propose an algorithm to discover workflow patterns and workflow termination states (WTS). Then based on the discovered control flow and set of termination states, we use a set of rules to mine the workflow transactional behavior.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsRobert Meersman, Zahir Tari, Wil van der Aalst, Christoph Bussler, Avigdor Gal, Vinny Cahill, Steve Vinoski, Werner Vogels, Tiziana Catarci, Katia Sycara
PublisherSpringer Verlag
Pages3-18
Number of pages16
ISBN (Print)9783540304685
DOIs
Publication statusPublished - 1 Jan 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3290
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Business intelligence
  • Enterprize knowledge discovery
  • Knowledge modelling
  • Transactional Workflows
  • Workflow mining

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