A Workcase Mining Mechanism using Activity Dependency

Kim Sang-Bae; Kim Hak-Seong; Paik Su-Ki

A Workcase Mining Mechanism using Activity Dependency

Kim Sang-Bae, Kim Hak-Seong, Paik Su-Ki, Journal of Internet Computing and Services, Vol. 4, No. 6, pp. 43-56, Dec. 2003
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Keywords: Workcase Mining Mechanism, Activily Dependency, E-Walk Series Analysis Algorithm

Abstract

Workflow mining is a newly emerging research issue for rediscovering and reengineering workflow models from workflow logs containing information about workflows being executed on the workflow engine. In this paper, we proposed workcase mining which was used dependency among activities. Main purpose of this paper is to minimize discrepancies between the modeled workflow process and the enacted workflow process as it is actually being executed. That is, we can get a complete set of activity firing sequences on buildtime. Besides, we can discover from workflow logs that which path out of all reachable paths a workcase has actually followed through on runtime. For this purpose we proposed two algorithm, the one is 'Activily-Dependent Net Algorithm' and the other is 'E-Walk Series Analysis Algorithm'.

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Cite this article

[APA Style]

Sang-Bae, K., Hak-Seong, K., & Su-Ki, P. (2003). A Workcase Mining Mechanism using Activity Dependency. Journal of Internet Computing and Services, 4(6), 43-56.

[IEEE Style]

K. Sang-Bae, K. Hak-Seong, P. Su-Ki, "A Workcase Mining Mechanism using Activity Dependency," Journal of Internet Computing and Services, vol. 4, no. 6, pp. 43-56, 2003.

[ACM Style]

Kim Sang-Bae, Kim Hak-Seong, and Paik Su-Ki. 2003. A Workcase Mining Mechanism using Activity Dependency. Journal of Internet Computing and Services, 4, 6, (2003), 43-56.