Skip to main content

A Business Process Metric Based on the Alpha Algorithm Relations

  • Conference paper
Book cover Business Process Management Workshops (BPM 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 99))

Included in the following conference series:

Abstract

We present a metric for the comparison of business process models. This new metric is based on a representation of a given model as two sets of local relations between pairs of activities in the model. In order to build this two sets, the same relations defined for the Alpha Algorithm [2] are considered. The proposed metric is then applied to hierarchical clustering of business process models and the whole procedure is implemented and made publicly available.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

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

    Book  MATH  Google Scholar 

  2. van der Aalst, W.M.P., van Dongen, B.F.: Discovering Workflow Performance Models from Timed Logs. In: Han, Y., Tai, S., Wikarski, D. (eds.) EDCIS 2002. LNCS, vol. 2480, pp. 45–63. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  3. van der Aalst, W.M.P., de Medeiros, A.K.A., Weijters, A.J.M.M.: Process Equivalence: Comparing Two Process Models Based on Observed Behavior. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, vol. 4102, pp. 129–144. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Aiolli, F., Burattin, A., Sperduti, A.: A Metric for Clustering Business Processes Based on Alpha Algorithm Relations. Tech. rep (2011), http://www.processmining.it

  5. Bae, J., Liu, L., Caverlee, J., Zhang, L.-J., Bae, H.: Development of Distance Measures for Process Mining, Discovery, and Integration. International Journal of Web Services Research 4(4), 1–17 (2007)

    Article  Google Scholar 

  6. Burattin, A., Sperduti, A.: Automatic determination of parameters’ values for Heuristics Miner++. In: IEEE Congress on Evolutionary Computation, pp. 1–8. IEEE, Barcelona (2010)

    Chapter  Google Scholar 

  7. Burattin, A., Sperduti, A.: PLG: A Framework for the Generation of Business Process Models and Their Execution Logs. In: zur Muehlen, M., Su, J. (eds.) BPM 2010 Workshops. LNBIP, vol. 66, pp. 214–219. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  8. Dijkman, R.: Diagnosing Differences between Business Process Models. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 261–277. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. 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 

  10. Ehrig, M., Koschmider, A., Oberweis, A.: Measuring Similarity between Semantic Business Process Models. In: Proceedings of the Fourth Asia-Pacific Conference on Conceptual Modelling, pp. 71–80 (2007)

    Google Scholar 

  11. Măruşter, L., Weijters, A.J.M.M., van der Aalst, W.M.P., van den Bosch, A.: Process Mining: Discovering Direct Successors in Process Logs. In: Lange, S., Satoh, K., Smith, C.H. (eds.) DS 2002. LNCS, vol. 2534, pp. 364–373. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  12. de Medeiros, A.K.A., van der Aalst, W.M.P., Weijters, A.J.M.M.: Quantifying process equivalence based on observed behavior. Data & Knowledge Engineering 64(1), 55–74 (2008)

    Article  Google Scholar 

  13. Rajaraman, A., Ullman, J.D.: Mining of Massive Datasets (2010)

    Google Scholar 

  14. Russell, N., Ter Hofstede, A.H.M., van der Aalst, W.M.P., Mulyar, N.: Workflow control-flow patterns: A revised view. BPM Center Report BPM-06-22, BPMcenter. org (2006)

    Google Scholar 

  15. Wang, J., He, T., Wen, L., Wu, N., ter Hofstede, A.H.M., Su, J.: A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6426, pp. 394–401. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  16. Weidlich, M., Mendling, J., Weske, M.: Efficient Consistency Measurement Based on Behavioral Profiles of Process Models. IEEE Transactions on Software Engineering 37(3), 410–429 (2011)

    Article  MathSciNet  Google Scholar 

  17. Zha, H., Wang, J., Wen, L., Wang, C., Sun, J.: A workflow net similarity measure based on transition adjacency relations. Comp. in Industry 61(5), 463–471 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Aiolli, F., Burattin, A., Sperduti, A. (2012). A Business Process Metric Based on the Alpha Algorithm Relations. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28108-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28108-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28107-5

  • Online ISBN: 978-3-642-28108-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics