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Hierarchical business process clustering

  • Jae Yoon Jung
  • , Joonsoo Bae*
  • , Ling Liu
  • *Corresponding author for this work
  • Kyung Hee University
  • Georgia Institute of Technology

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Business process is collection of standardized and structured tasks inducing value creation of a company. Nowadays, it is recognized as one of significant intangible business assets to achieve competitive advantages. This research introduces a novel approach of business process analysis, which has more and more significance as process-aware information systems are spreading widely over a lot of companies. In this paper, a methodology of business process clustering based on process similarity is illustrated. The purpose of business process clustering is to analyze accumulated process models in order to assist design of new processes and reengineering of existing ones. The proposed methodology exploits structural similarity metrics of business processes. The methodology is illustrated with synthetic process models of insurance processes.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE International Conference on Services Computing, SCC 2008
Pages613-616
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Services Computing, SCC 2008 - Honolulu, HI, United States
Duration: 2008.07.72008.07.11

Publication series

NameProceedings - 2008 IEEE International Conference on Services Computing, SCC 2008
Volume2

Conference

Conference2008 IEEE International Conference on Services Computing, SCC 2008
Country/TerritoryUnited States
CityHonolulu, HI
Period08.07.708.07.11

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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