[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

A Generic Import Framework for Process Event Logs

Industrial Paper

  • Conference paper
Business Process Management Workshops (BPM 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4103))

Included in the following conference series:

  • 2016 Accesses

Abstract

The application of process mining techniques to real-life corporate environments has been of an ad-hoc nature so far, focused on proving the concept. One major reason for this rather slow adoption has been the complicated task of transforming real-life event log data to the MXML format used by advanced process mining tools, such as ProM. In this paper, the ProM Import Framework is presented, which has been designed to bridge this gap and to build a stable foundation for the extraction of event log data from any given PAIS implementation. Its flexible and extensible architecture, adherence to open standards, and open source availability make it a versatile contribution to the general BPI community.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. van der Aalst, W.M.P., van Hee, K.M.: Workflow Management: Models, Methods, and Systems. MIT Press, Cambridge (2002)

    Google Scholar 

  2. van der Aalst, W.M.P., Song, M.: Mining Social Networks: Uncovering Interaction Patterns in Business Processes. In: Desel, J., Pernici, B., Weske, M. (eds.) BPM 2004. LNCS, vol. 3080, pp. 244–260. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. van der Aalst, W.M.P., van Dongen, B.F., Herbst, J., Maruster, L., Schimm, G., Weijters, A.J.M.M.: Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering 47(2), 237–267 (2003)

    Article  Google Scholar 

  4. van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128–1142 (2004)

    Article  Google Scholar 

  5. van der Aalst, W.M.P., Weske, M., Grünbauer, D.: Case Handling: A New Paradigm for Business Process Support. Data and Knowledge Engineering 53(2), 129–162 (2005)

    Article  Google Scholar 

  6. Agrawal, R., Gunopulos, D., Leymann, F.: Mining Process Models from Workflow Logs. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 469–483. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  7. Athena, P.: Case Handling with FLOWer: Beyond workflow. Pallas Athena B.V., Apeldoorn, The Netherlands (2002)

    Google Scholar 

  8. Cook, J.E., Wolf, A.L.: Discovering Models of Software Processes from Event-Based Data. ACM Transactions on Software Engineering and Methodology 7(3), 215–249 (1998)

    Article  Google Scholar 

  9. van Dongen, B.F., van der Aalst, W.M.P.: Multi-Phase Process Mining: Building Instance Graphs. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 362–376. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. van Dongen, B.F., de Medeiros, A.K., Verbeek, H.M.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The prom framework: A new era in process mining tool support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444–454. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  11. Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.C.: Business process intelligence. Computers in Industry 53(3), 321–343 (2004)

    Article  Google Scholar 

  12. Herbst, J., Karagiannis, D.: An Inductive Approach to the Acquisition and Adaptation of Workflow Models. In: Ibrahim, M., Drabble, B. (eds.) Proceedings of the IJCAI 1999 Workshop on Intelligent Workflow and Process Management: The New Frontier for AI in Business, Stockholm, Sweden, August 1999, pp. 52–57 (1999)

    Google Scholar 

  13. Hoare, C.A.R.: Algorithm 64: Quicksort. Commun. ACM 4(7), 321 (1961)

    Article  Google Scholar 

  14. Keller, G., Nüttgens, M., Scheer, A.W.: Semantische Processmodellierung auf der Grundlage Ereignisgesteuerter Processketten (EPK). Veröffentlichungen des Instituts für Wirtschaftsinformatik, Heft 89 (in German), University of Saarland, Saarbrücken (1992)

    Google Scholar 

  15. Knuth, D.E.: The Art of Computer Programming, 2nd edn. Sorting and Searching, vol. 3. Addison Wesley, Reading (1998)

    Google Scholar 

  16. Reichert, M., Dadam, P.: ADEPTflex: Supporting Dynamic Changes of Workflow without Loosing Control. Journal of Intelligent Information Systems 10(2), 93–129 (1998)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Günther, C.W., van der Aalst, W.M.P. (2006). A Generic Import Framework for Process Event Logs. In: Eder, J., Dustdar, S. (eds) Business Process Management Workshops. BPM 2006. Lecture Notes in Computer Science, vol 4103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11837862_10

Download citation

  • DOI: https://doi.org/10.1007/11837862_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38444-1

  • Online ISBN: 978-3-540-38445-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics