Mining Decision Activity Logs

  • Razvan Petrusel
  • Daniel Mican
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 57)


This paper introduces our work regarding the mining of decision activity logs generated by the users of a decision support system-like environment. We will show that a DSS can be modified in order to become “decision-aware. If the system offers support for all the data and information needs of the decision maker, how the user interacts with the software can provide us with a new perspective over the implicit and explicit knowledge employed in the decision process, as well as the decision patterns and strategies used for that decisional situation. All this valuable information will be stored as activity logs. Those logs need to be mined in order to build a graphical representation of the decision process. As proof-of-concept we focus on the enterprise loan contracting decision situation. We will show some of the models we created using several process mining algorithms and our own approach. Based on those models, we argue the new insights we can provide into the decision making process and the knowledge that is now explained and depicted as diagrams.


decision mining user activity log process mining mining algorithm decision reference model 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    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)CrossRefGoogle Scholar
  2. 2.
    van der Aalst, W.M.P., Weijters, A.J.M.M.: Process Mining. Computers in Industry 53(3), 231–244 (2004)CrossRefGoogle Scholar
  3. 3.
    Rozinat, A., Wynn, M., van der Aalst, W.M.P., ter Hofstede, A.H.M., Fidge, C.: Workflow Simulation for Operational Decision Support. Data and Knowledge Engineering 68(9), 834–850 (2009)CrossRefGoogle Scholar
  4. 4.
    van der Aalst, W.M.P., Nakatumba, J., Rozinat, A., Russell, N.: Business Process Simulation: How to get it right? In: vom Brocke, J., Rosemann, M. (eds.) International Handbook on Business Process Management. Springer, Berlin (2009)Google Scholar
  5. 5.
    Agrawal, R., Gunopulos, D., Leymann, F.: Mining Process Models from Work-flow Logs. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 469–483. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  6. 6.
    Schimm, G.: Process Miner: A Tool for Mining Process Schemes from Event-based Data. In: Flesca, S., Greco, S., Leone, N., Ianni, G. (eds.) JELIA 2002. LNCS (LNAI), vol. 2424, pp. 525–528. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  7. 7.
    Herbst, J., Karagiannis, D.: Integrating Machine Learning and Workflow Management to Support Acquisition and Adaptation of Workflow Models. International Journal of Intelligent Systems in Accounting, Finance and Management 9, 67–92 (2000)CrossRefGoogle Scholar
  8. 8.
    Wen, L., Wang, J., van der Aalst, W.M.P., Huang, B., Sun, J.: A Novel Approach for Process Mining Based on Event Types. Journal of Intelligent Information Systems 32(2), 163–190 (2009)CrossRefGoogle Scholar
  9. 9.
    van der Aalst, W.M.P.: Using Process Mining to Generate Accurate and Interactive Business Process Maps. In: Abramowicz, A., Flejter, D. (eds.) BIS 2009 Workshops. LNBIP, vol. 37, pp. 1–14. Springer, Berlin (2009)Google Scholar
  10. 10.
    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
  11. 11.
    Rozinat, A., de Medeiros, A.K.A., Gunther, C.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The Need for a Process Mining Evaluation Framework in Research and Practice. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 84–89. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  12. 12.
    Rozinat, A., de Medeiros, A.K.A., Gunther, C.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: Towards an Evaluation Framework for Process Mining Algorithms. BPM Center Report BPM-07-06, (2007)Google Scholar
  13. 13.
    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)CrossRefGoogle Scholar
  14. 14.
    Wen, L., Wang, J., Sun, J.G.: Detecting Implicit Dependencies Between Tasks from Event Logs. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds.) APWeb 2006. LNCS, vol. 3841, pp. 591–603. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  15. 15.
    Weijters, A.J.M.M., van der Aalst, W.M.P.: Rediscovering Workflow Models from Event-Based Data using Little Thumb. Integrated Computer-Aided Engineering 10(2), 151–162 (2003)Google Scholar
  16. 16.
    de Medeiros, A.K.A., Weijters, A.J.M.M., van der Aalst, W.M.P.: Genetic Process Mining: An Experimental Evaluation. Data Mining and Knowledge Discovery 14(2), 245–304 (2007)CrossRefGoogle Scholar
  17. 17.
    Gunther, C.W., van der Aalst, W.M.P.: Fuzzy Mining: Adaptive Process Simplification Based on Multi-perspective Metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328–343. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  18. 18.
    Gaaloul, W., Baïna, K., Godart, C.: Towards mining structural workflow patterns. In: Andersen, K.V., Debenham, J., Wagner, R. (eds.) DEXA 2005. LNCS, vol. 3588, pp. 24–33. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  19. 19.
    Mendling, J.: Metrics for Business Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness. In: Mendling, J. (ed.) Metrics for Process Models. LNBIP, vol. 6, pp. 103–133. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Razvan Petrusel
    • 1
  • Daniel Mican
    • 1
  1. 1.Faculty of Economical Sciences and Business AdministrationBabes-Bolyai UniversityCluj-NapocaRomania

Personalised recommendations