Abstract
This work presents a workflow process mining method that is, at least, as powerful as many others presented in the literature, as measured by the examples presented in the literature. The method is based on a grammar of rewriting expressions, by which a model is adapted to include a new execution trace. We also discuss the intrinsic limits of the mining process, which we believe has not been a topic clearly stated and discussed in the published research.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
van der Aalst, W.M.P., van Dongena, B.F., Herbst, J., Marustera, L., Schimm, G., Weijters, A.J.M.M.: Workflow mining: A survey of issues and approaches. Journal of Data & Knowledge Engineering 47(2), 237–267 (2003)
van der Aalst, W.M.P., Weijters, A.J.M.M.: Process mining: a research agenda. Journal of Computers in Industry 53(3) (April 2004)
Herbsta, J., Karagiannisb, D.: Workflow mining with InWoLvE. Journal of Computers in Industry 53(3) (April 2004)
Schimm, G.: Mining exact models of concurrent workflows. Journal of Computers in Industry 53(3) (April 2004)
Pinter, S.S., Golani, M.: Discovering workflow models from activities’ lifespans. Journal of Computers in Industry 53(3) (April 2004)
Cook, J.E., Du, Z., Liu, C., Wolf, A.L.: Discovering models of behavior for concurrent workflows. Journal of Computers in Industry 53(3) (April 2004)
Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.-C.: Business Process Intelligence. Journal of Computers in Industry 53(3) (April 2004)
Hwang, S.-Y., Wei, C.-P., Yang, W.-S.: Discovery of temporal patterns from process instances. Journal of Computers in Industry 53(3) (April 2004)
Kim, K., Ellis, C.A.: Workflow Reduction for Reachable-path Rediscovery. In: Proceedings of the ICDM 2003 Workshop: Foundations and New Directions in Data Mining, Melbourne, Florida, USA (November 2003)
Park, M., Kim, K.: An Efficient Workcase Classification Method and Tool in Workflow Mining. In: Proceedings of the DMIN 2005:The International Conference on Data Mining, Monte Carlo Resort, Las Vegas, Nevada, USA (June 2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wainer, J., Kim, K., Ellis, C.A. (2005). A Workflow Mining Method Through Model Rewriting. In: Fukś, H., Lukosch, S., Salgado, A.C. (eds) Groupware: Design, Implementation, and Use. CRIWG 2005. Lecture Notes in Computer Science, vol 3706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11560296_14
Download citation
DOI: https://doi.org/10.1007/11560296_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29110-7
Online ISBN: 978-3-540-32002-9
eBook Packages: Computer ScienceComputer Science (R0)