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Towards Cross-Organizational Process Mining in Collections of Process Models and Their Executions

  • Conference paper
Business Process Management Workshops (BPM 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 100))

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Abstract

Variants of the same process may be encountered in different organizations, e.g., any municipality will have a process to handle building permits. New paradigms such as Software-as-a-Service (SaaS) and Cloud Computing stimulate organizations to share a BPM infrastructure. The shared infrastructure has to support many processes and their variants. Dealing with such large collections of similar process models for multiple organizations is challenging. However, a shared BPM infrastructure also enables cross-organizational process mining. Since events are recorded in a unified way, it is possible to cross-correlate process models and the actual observed behavior in different organizations. This paper presents a novel approach to compare collections of process models and their events logs. The approach is used to compare processes in different Dutch municipalities.

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References

  1. van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes, 1st edn. Springer, Heidelberg (2011)

    Book  MATH  Google Scholar 

  2. van der Aalst, W.M.P., Dumas, M., Gottschalk, F., ter Hofstede, A.H.M., La Rosa, M., Mendling, J.: Preserving Correctness during Business Model Configuration. Formal Aspects of Computing 22(3-4), 459–482 (2010)

    Article  MATH  Google Scholar 

  3. Adriansyah, A., Sidorova, N., van Dongen, B.F.: Cost-based Fitness in Conformance Checking. In: IEEE 11th International Conference on Application of Concurrency to System Design (ACSD 2011) (2011)

    Google Scholar 

  4. Dijkman, R.M., Dumas, M., van Dongen, B.F., Käärik, R., Mendling, J.: Similarity of Business Process Models: Metrics and Evaluation. Information Systems 36(2), 498–516 (2011); Special Issue: Semantic Integration of Data, Multimedia, and Services

    Article  Google Scholar 

  5. van Dongen, B.F., Dijkman, R., Mendling, J.: Measuring Similarity between Business Process Models. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 450–464. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. Gottschalk, F., Wagemakers, T.A.C., Jansen-Vullers, M.H., van der Aalst, W.M.P., La Rosa, M.: Configurable Process Models: Experiences from a Municipality Case Study. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 486–500. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. Greco, G., Guzzo, A., Pontieri, L., Sacca, D.: Discovering Expressive Process Models by Clustering Log Traces. IEEE Transactions on Knowledge and Data Engineering 18, 1010–1027 (2006)

    Article  Google Scholar 

  8. La Rosa, M., Reijers, H.A., van der Aalst, W.M.P., Dijkman, R.M., Mendling, J., Dumas, M., García-Bañuelos, L.: APROMORE: An Advanced Process Model Repository. Expert Systems with Applications 38, 7029–7040 (2011)

    Article  Google Scholar 

  9. Mendling, J.: Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness. LNBIP, vol. 6. Springer, Heidelberg (2008)

    Google Scholar 

  10. Mendling, J., Van Der Dongen, W.M.P., Aalst, B.F.: On the Degree of Behavioral Similarity between Business Process Models. In: Geschäftsprozessmanagement mit Ereignisgesteuerten Prozessketten, pp. 39–58 (2007)

    Google Scholar 

  11. Muñoz-Gama, J., Carmona, J.: A Fresh Look at Precision in Process Conformance. In: Hull, R., Mendling, J., Tai, S. (eds.) BPM 2010. LNCS, vol. 6336, pp. 211–226. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  12. Pinter, S.S., Golani, M.: Discovering workflow models from activities’ lifespans. Computers in Industry 53(3), 283–296 (2004); Process / Workflow Mining

    Article  Google Scholar 

  13. Rozinat, A., van der Aalst, W.M.P.: Conformance Checking of Processes Based on Monitoring Real Behavior. Information Systems 33(1), 64–95 (2008)

    Article  Google Scholar 

  14. Rozinat, A., Veloso, M., van der Aalst, W.M.P.: Using hidden Markov models to evaluate the quality of discovered process models. Technical Report BPM Center Report No. BPM-08-10, Eindhoven: BPMcenter.org (2008)

    Google Scholar 

  15. Weijters, A.J.M.M., Van Der Aalst, W.M.P., Alves De Medeiros, A.K.: Process Mining with the Heuristics Miner-Algorithm. Technical report, Eindhoven University of Technology (2006)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P. (2012). Towards Cross-Organizational Process Mining in Collections of Process Models and Their Executions. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28115-0_2

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  • DOI: https://doi.org/10.1007/978-3-642-28115-0_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28114-3

  • Online ISBN: 978-3-642-28115-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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