Improving documentation by repairing event logs

Lecture Notes in Business Information Processing

Volumn 165 LNBIP, Issue , 2013, Pages 129-144

  Rogge Solti, Andreas ^a   Mans, Ronny S ^b   van der Aalst, Wil M P ^b   Weske, Mathias ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Bayesian networks; Documentation quality; Missing data; Stochastic petri nets

Indexed keywords

PETRI NETS; QUALITY CONTROL; REPAIR; STOCHASTIC SYSTEMS; BAYESIAN NETWORKS;

BUSINESS PROCESS; BUSINESS PROCESS MODEL; COMPLIANCE ANALYSIS; DUTCH HOSPITALS; MISSING DATA; PROCESS ENACTMENT; PROCESS KNOWLEDGE; STOCHASTIC PETRI NETS;

BAYESIAN NETWORKS; QUALITY CONTROL;

EID: 85005965054     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-41641-5_10     Document Type: Conference Paper

References (21)

1. van der Aalst, W., Adriansyah, A., de Medeiros, A.K.A., Arcieri, F., et al.: Process mining manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM Workshops 2011, Part I. LNBIP, vol. 99, pp. 169-194. Springer, Heidelberg (2012)
2. Adriansyah, A., van Dongen, B.F., van der Aalst, W.M.P.: Conformance Checking using Cost-Based Fitness Analysis. In: EDOC 2011, pp. 55-64. IEEE (2011)
3. Rogge-Solti, A., van der Aalst, W.M.P., Weske, M.: Discovering Stochastic Petri Nets with Arbitrary Delay Distributions From Event Logs. In: BPM Workshops 2013. LNBIP. Springer, Heidelberg (to appear)
4. Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann (1988)
5. Rogge-Solti, A., Mans, R., van der Aalst, W.M.P., Weske, M.: Repairing Event Logs Using Stochastic Process Models. Technical Report 78, Hasso Plattner Institute (2013)
6. Schafer, J.L., Graham, J.W.: Missing Data: Our View of the State of the Art. Psychological Methods 7(2), 147-177 (2002)
7. Bertoli, P., Dragoni, M., Ghidini, C., Di Francescomarino, C.: Reasoning-based Techniques for Dealing with Incomplete Business Process Execution Traces. Technical report, Fundazione Bruno Kessler, Data & Knowledge Management (2013)
8. Günther, 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)
9. van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
10. Fahland, D., van der Aalst, W.M.P.: Repairing Process Models to Reflect Reality. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 229-245. Springer, Heidelberg (2012)
11. Buijs, J.C.A.M., La Rosa, M., Reijers, H.A., van Dongen, B.F., van der Aalst, W.M.P.: Improving Business Process Models Using Observed Behavior. In: Ceravolo, P. (ed.) SIMPDA2012. LNBIP, vol. 162, pp. 44-59. Springer, Heidelberg (2013)
12. Ciardo, G., German, R., Lindemann, C.: A Characterization of the Stochastic Process Underlying a Stochastic Petri Net. IEEE Transactions on Software Engineering 20(7), 506-515 (1994)
13. Marsan, M.A., Balbo, G., Bobbio, A., Chiola, G., Conte, G., Cumani, A.: The Effect of Execution Policies on the Semantics and Analysis of Stochastic Petri Nets. IEEE Transactions on Software Engineering 15, 832-846 (1989)
14. van der Aalst, W.M.P., Adriansyah, A., van Dongen, B.: Replaying History on Process Models for Conformance Checking and Performance Analysis. In: WIREs: Data Mining and Knowledge Discovery, vol. 2, pp. 182-192. Wiley Online Library (2012)
15. Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press (2009)
16. Murphy, K.P.: The Bayes Net Toolbox for Matlab. In: Interface 2001. Computing Science and Statistics, vol. 33, pp. 1024-1034 (2001)
17. van der Aalst, W.M.P.: Verification of Workflow Nets. In: Azéma, P., Balbo, G. (eds.) ICATPN 1997. LNCS, vol. 1248, pp. 407-426. Springer, Heidelberg (1997)
18. Best, E.: Structure Theory of Petri Nets: The Free Choice Hiatus. In: Brauer, W., Reisig, W., Rozenberg, G. (eds.) APN 1986. LNCS, vol. 254, pp. 168-205. Springer, Heidelberg (1987)
19. Zhang, L., Chen, W., Hu, Y., Chen, C.C.: Statistical Static Timing Analysis With Conditional Linear MAX/MIN Approximation and Extended Canonical Timing Model. In: TCAD, vol. 25, pp. 1183-1191. IEEE (2006)
20. Cooper, G.F.: The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. Artificial Intelligence 42(2), 393-405 (1990)
21. Kirchner, K., Herzberg, N., Rogge-Solti, A., Weske, M.: Embedding Conformance Checking in a Process Intelligence System in Hospital Environments. In: Lenz, R., Miksch, S., Peleg, M., Reichert, M., Riaño, D., ten Teije, A. (eds.) ProHealth 2012/KR4HC 2012. LNCS, vol. 7738, pp. 126-139. Springer, Heidelberg (2013)