Advertisement

Case of Process Mining from Business Execution Log Data

  • Joonsoo Bae
  • Young Ki Kang
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 15)

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.

Keywords

Process mining Log data 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Object Management Group/Business Process Management Initiative, BPMN 1.1 : OMG Specification (February 2008)Google Scholar
  2. van der Aalst, Weijters, A.J.M.M.: Process Mining: research agenda. Comput. Ind. 53(3) (2004)Google Scholar
  3. Jung, J.-Y., Bae, J., Liu, L.: Hierarchical Clustering of Business Process Models. International Journal of Innovative Computing, Information and Control 5(12(A)), 4501–4511 (2009)Google Scholar
  4. Jung, J.-Y., Bae, J.: Rule-Based Ad-Hoc Workflow Modeling for Service Coordination: A Case Study of a Telecom Operational Support System. IEICE Trans.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.BPM LabChonbuk National UniversityJeonjuSouth Korea

Personalised recommendations