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Case of process mining from business execution log data

  • Joonsoo Bae*
  • , Young Ki Kang
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to conferenceChapterpeer-review

Abstract

Process Mining is one research area to find useful information from various processes in business execution log data. As BPMS, ERP, SCM, etc so called process recognizing information system are widely spread, process mining research are getting emphasis recently. Also execution log data of one enterprise are frequently utilized for checking current status of management or analysis of resource efficiency. But since analysis result depends on measurement criteria and method, it is very important to select systematic process mining algorithm based on business model or enterprise strategy. In this paper many process mining techniques are introduced and compared using process mining tool, ProM.

Original languageEnglish
Title of host publicationIntelligent Decision Technologies
Subtitle of host publicationProceedings of the 4th International Conference on Intelligent Decision
EditorsJain Lakhmi, Howlett Robert, Watada Junzo, Watanabe Toyohide, Gloria Phillips-Wren
Pages419-425
Number of pages7
DOIs
StatePublished - 2012

Publication series

NameSmart Innovation, Systems and Technologies
Volume15
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Keywords

  • Log data
  • Process mining

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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