Discovering stochastic Petri nets with arbitrary delay distributions from event logs

Lecture Notes in Business Information Processing

Volumn 171 171 LNBIP, Issue , 2014, Pages 15-27

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

^a UNIVERSITY OF POTSDAM   (Germany)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Generally distributed transitions; Process mining; Stochastic Petri nets

Indexed keywords

DATA MINING; ENTERPRISE RESOURCE MANAGEMENT; INDUSTRIAL RESEARCH; PETRI NETS; STOCHASTIC MODELS;

ARBITRARY DELAYS; BUSINESS PROCESS; CAPTURE PROCESS; MEMORYLESS PROPERTIES; PROCESS DISCOVERY; PROCESS MINING; PROCESS MODEL; STOCHASTIC PETRI NETS;

STOCHASTIC SYSTEMS;

EID: 84904539418     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (17)

1. van der Aalst, W.: Process Mining: Discovery Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011).
2. Lohmann, N., Verbeek, E., Dijkman, R.: Petri Net transformations for business processes-a survey. In: Jensen, K., van der Aalst, W. M. P. (eds.) Transactions on Petri Nets and Other Models of Concurrency II. LNCS, vol. 5460, pp. 46-63. Springer, Heidelberg (2009).
3. Rozinat, A., Mans, R. S., Song, M., van der Aalst, W.: Discovering simulation models. Inf. Syst. 34(3), 305-327 (2009).
4. Leclercq, E., Lefebvre, D., Ould El Mehdi, S.: Identification of timed stochastic petri net models with normal distributions of firing periods. In: Information Control Problems in Manufacturing, vol. 13, pp. 948-953 (2009).
5. Anastasiou, N., Horng, T., Knottenbelt, W.: Deriving generalised stochastic Petri Net performance models from high-precision location tracking data. In: VALUETOOLS' 11, ICST, pp. 91-100 (2011).
6. Hu, H., Xie, J., Hu, H.: A novel approach for mining stochastic process model from workflow logs. J. Comput. Inf. Syst. 7(9), 3113-3126 (2011).
7. 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 Trans. Softw. Eng. 15, 832-846 (1989).
8. Adriansyah, A., van Dongen, B., van der Aalst, W.: Conformance checking using cost-based fitness analysis. In: EDOC 2011, pp. 55-64. IEEE (2011).
9. Ciardo, G., German, R., Lindemann, C.: A characterization of the stochastic process underlying a stochastic Petri Net. IEEE Trans. Softw. Eng. 20(7), 506-515 (1994).
10. Marsan, M., Conte, G., Balbo, G.: A class of generalized stochastic Petri Nets for the performance evaluation of multiprocessor systems. ACM TOCS 2(2), 93-122 (1984).
11. van der Aalst, W., Adriansyah, A., van Dongen, B.: Replaying history on process models for conformance checking and performance analysis. WIREs Data Mining Knowl. Discov. 2, 182-192 (2012). (Wiley Online Library).
12. 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).
13. 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: Cudre-Mauroux, P., Ceravolo, P., Gašević, D. (eds.) SIMPDA 2012. LNBIP, vol. 162, pp. 44-59. Springer, Heidelberg (2013).
14. Padgett, W., McNichols, D. T.: Nonparametric density estimation from censored data. Commun. Stat. Theor. Methods 13(13), 1581-1611 (1984).
15. Kooperberg, C., Stone, C. J.: Logspline density estimation for censored data. J. Comput. Graph. Stat. 1(4), 301-328 (1992).
16. Buchholz, R., Krull, C., Horton, G.: Reconstructing model parameters in partiallyobservable discrete stochastic systems. In: Al-Begain, K., Balsamo, S., Fiems, D., Marin, A. (eds.) ASMTA 2011. LNCS, vol. 6751, pp. 159-174. Springer, Heidelberg (2011).
17. Wombacher, A., Iacob, M. E.: Start time and duration distribution estimation in semi-structured processes. Technical report, Centre for Telematics and Information Technology, University of Twente (2012).