An experimental mining and analytics for discovering proportional process patterns from workflow enactment event logs-Reference-Cited by-同舟云学术

An experimental mining and analytics for discovering proportional process patterns from workflow enactment event logs

Published:2018-12-20 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Kim Kyoungsook,Lee Young-Koo,Ahn Hyun,Kim Kwanghoon Pio^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s11276-018-01899-z.pdf

Reference11 articles.

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3. van der Aalst, W. M. P., van Dongena, B. F., Herbst, J., Marustera, L., Schimm, G., & Weijters, A. J. M. M. (2003). Workflow mining: A survey of issues and approaches. Journal of Data & Knowledge Engineering, 47(2), 237–267.

4. Kim, K., Yeon, M., Jeong, B., & Kim, K. (2017). A conceptual approach for discovering proportions of disjunctive routing patterns in a business process model. KSII Transactions on Internet and Information Systems, 11(2), 1148–1161.

5. Park, M., & Kim, K. (2008). Control-path oriented workflow intelligence analyses. Journal of Information Science and Engineering, 24, 343–359.

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