Discovering Decision Models from Event Logs

  • Ekaterina BazhenovaEmail author
  • Susanne Buelow
  • Mathias Weske
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 255)


Enterprise business process management is directly affected by how effectively it designs and coordinates decision making. To ensure optimal process executions, decision management should incorporate decision logic documentation and implementation. To achieve the separation of concerns principle, the OMG group proposes to use Decision Model and Notation (DMN) in combination with Business Process Model and Notation (BPMN). However, often in practice, decision logic is either explicitly encoded in process models through control flow structures, or it is implicitly contained in process execution logs. Our work proposes an approach of semi-automatic derivation of DMN decision models from process event logs with the help of decision tree classification. The approach is demonstrated by an example of a loan application in a bank.


Business process Decision management Decision mining 


  1. 1.
    Baesens, B., Setiono, R., Mues, C., Vanthienen, J.: Using neural network rule extraction and decision tables for credit-risk evaluation. Manage. Sci. 49(3), 312–329 (2003)CrossRefzbMATHGoogle Scholar
  2. 2.
    Baesens, B., Van Gestel, T., Viaene, S., Stepanova, M., Suykens, J., Vanthienen, J.: Benchmarking state-of-the-art classification algorithms for credit scoring. J. Oper. Res. Soc. 54(6), 627–635 (2003)CrossRefzbMATHGoogle Scholar
  3. 3.
    Batoulis, K., Meyer, A., Bazhenova, E., Decker, G., Weske, M.: Extracting decision logic from process models. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds.) CAiSE 2015. LNCS, vol. 9097, pp. 349–366. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  4. 4.
    Bazhenova, E., Weske, M.: Deriving decision models from process models through enhanced decision mining. In: Proceedings of 3th International Workshop on Decision Mining and Modeling for Business Processes. Springer (2015, accepted for publication)Google Scholar
  5. 5.
    Board: Report to the Congress on Credit Scoring and Its Effects on the Availability and Affordability of Credit. Technical report (2007)Google Scholar
  6. 6.
    Capon, N.: Credit scoring systems: a critical analysis. J. Mark. 46(2), 82–91 (1982)CrossRefGoogle Scholar
  7. 7.
    de Leoni, M., Dumas, M., García-Bañuelos, L.: Discovering branching conditions from business process execution logs. In: Cortellessa, V., Varró, D. (eds.) FASE 2013 (ETAPS 2013). LNCS, vol. 7793, pp. 114–129. Springer, Heidelberg (2013)Google Scholar
  8. 8.
    Debevoise, T., Taylor, J.: The Microguide to Process Modeling and Decision in BPMN/DMN. CreateSpace Independent Publishing Platform, Seattle (2014)Google Scholar
  9. 9.
    Ghattas, J., Soffer, P., Peleg, M.: Improving business process decision making based on past experience. Decis. Support Syst. 59, 93–107 (2014)CrossRefGoogle Scholar
  10. 10.
    Kornyshova, E., Deneckère, R.: Decision-making ontology for information system engineering. In: Parsons, J., Saeki, M., Shoval, P., Woo, C., Wand, Y. (eds.) ER 2010. LNCS, vol. 6412, pp. 104–117. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  11. 11.
    Mertens, S., Gailly, F., Poels, G.: Enhancing declarative process models with DMN decision logic. In: Gaaloul, K., Schmidt, R., Nurcan, S., Guerreiro, S., Ma, Q. (eds.) BPMDS 2015 and EMMSAD 2015. LNBIP, vol. 214, pp. 151–165. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  12. 12.
    OMG: Business Process Model and Notation (BPMN), v. 2.0.2 (2013)Google Scholar
  13. 13.
    OMG: Decision Model And Notation (DMN), v. 1.0 - Beta 2 (2015)Google Scholar
  14. 14.
    Rozinat, A., van der Aalst, W.M.P.: Decision mining in ProM. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, vol. 4102, pp. 420–425. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  15. 15.
    Von Halle, B., Goldberg, L.: The Decision Model: A Business Logic Framework Linking Business and Technology. Taylor and Francis Group, Boca Raton (2010)Google Scholar
  16. 16.
    Walder, C.J: Support vector machines for business applications. In: Business Applications and Computational Intelligence, p. 267 (2006)Google Scholar
  17. 17.
    Zarghami, A., Sapkota, B., Eslami, M.Z., van Sinderen, M.: Decision as a service: separating decision-making from application process logic. In: EDOC. IEEE (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ekaterina Bazhenova
    • 1
    Email author
  • Susanne Buelow
    • 1
  • Mathias Weske
    • 1
  1. 1.Hasso Plattner Institute at the University of PotsdamPotsdamGermany

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