Beyond tasks and gateways: Discovering BPMN models with subprocesses, boundary events and activity markers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8659 LNCS, Issue , 2014, Pages 101-117

  Conforti, Raffaele ^a   Dumas, Marlon ^b   García Bañuelos, Luciano ^b   La Rosa, Marcello ^a,c  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF TARTU   (Estonia)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ENTERPRISE RESOURCE MANAGEMENT;

AUTOMATED DISCOVERY; BUSINESS PROCESS MODEL AND NOTATION (BPMN); DATA ATTRIBUTES; ERROR HANDLING; EVENT LOGS; PROCESS DISCOVERY; PROCESS MODEL; PROCESS MODELING;

ADMINISTRATIVE DATA PROCESSING;

EID: 84906738723     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10172-9_7     Document Type: Conference Paper

References (25)

1. Adriansyah, A., van Dongen, B.F., van der Aalst,W.M.P.: Conformance checking using costbased fitness analysis. In: Proc. of EDOC. IEEE (2011)
2. Rolón, E., Cardoso, J., García, F., Ruiz, F., Piattini, M.: Analysis and validation of controlflow complexity measures with BPMN process models. In: Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P., Ukor, R. (eds.) BPMDS 2009 and EMMSAD 2009. LNBIP, vol. 29, pp. 58-70. Springer, Heidelberg (2009)
3. Bauckmann, J., Leser, U., Naumann, F.: Efficient and exact computation of inclusion dependencies for data integration. Technical Report 34, Hasso-Plattner-Institute (2010)
4. Alves de Medeiros, A.K.: Genetic Process Mining. PhD thesis, Eindhoven University of Technology (2006)
5. Dijkman, R.M., Dumas, M., Ouyang, C.: Semantics and analysis of business process models in bpmn. Information & Software Technology 50(12) (2008)
6. Ekanayake, C.C., Dumas, M., García-Bañuelos, L., La Rosa, M.: Slice, mine and dice: Complexity-aware automated discovery of business process models. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 49-64. Springer, Heidelberg (2013)
7. Favre, C., Fahland, D., Völzer, H.: The relationship between workflow graphs and free-choice workflow nets. Information Systems (in press, 2014)
8. Greco, G., Guzzo, A., Pontieri, L.: Mining taxonomies of process models. Data Knowl. Eng. 67(1) (2008)
9. Huhtala, Y., Kärkkäinen, J., Porkka, P., Toivonen, H.: TANE: An efficient algorithm for discovering functional and approximate dependencies. Computer Journal 42(2) (1999)
10. Kalenkova, A., Lomazova, I.A.: Discovery of cancellation regions within process mining techniques. In: Proc. of CS&PWorkshop. CEUR Workshop Proceedings, vol. 1032, CEURWS. org (2013)
11. Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Discovering block-structured process models from event logs - A constructive approach. In: Colom, J.-M., Desel, J. (eds.) PETRI NETS 2013. LNCS, vol. 7927, pp. 311-329. Springer, Heidelberg (2013)
12. Li, J., Bose, R.P.J.C., van der Aalst,W.M.P.: Mining context-dependent and interactive business process maps using execution patterns. In: zur Muehlen, M., Su, J. (eds.) BPM 2010 Workshops. LNBIP, vol. 66, pp. 109-121. Springer, Heidelberg (2011)
13. Mendling, J., Reijers, H.A., Cardoso, J.: What Makes Process Models Understandable? In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 48-63. Springer, Heidelberg (2007)
14. Muñoz-Gama, J., Carmona, J.: A fresh look at precision in process conformance. In: Hull, R., Mendling, J., Tai, S. (eds.) BPM 2010. LNCS, vol. 6336, pp. 211-226. Springer, Heidelberg (2010)
15. Nooijen, E.H.J., van Dongen, B.F., Fahland, D.: Automatic discovery of data-centric and artifact-centric processes. In: La Rosa, M., Soffer, P. (eds.) BPM 2012 Workshops. LNBIP, vol. 132, pp. 316-327. Springer, Heidelberg (2013)
16. Popova, V., Fahland, D., Dumas, M.: Artifact lifecycle discovery. CoRR abs/1303.2554 (2013)
17. Reijers, H.A., Mendling, J.: A study into the factors that influence the understandability of business process models. IEEE T. Syst. Man Cy. A 41(3) (2011)
18. Silberschatz, A., Korth, H.F., Sudarshan, S.: Database System Concepts, 4th edn. McGraw- Hill Book Company (2001)
19. van der Aalst,W.M.P.: ProcessMining - Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
20. van der Aalst, W.M.P., Weijters, T., Maruster, L.: Workflow mining: Discovering process models from event logs. IEEE Trans. Knowl. Data Eng. 16(9) (2004)
21. van der Werf, J.M.E.M., van Dongen, B.F., Hurkens, C.A.J., Serebrenik, A.: Process discovery using integer linear programming. Fundam. Inform. 94(3-4) (2009)
22. vanden Broucke, S.K.L.M., De Weerdt, J., Vanthienen, J., Baesens, B.: Fodina: a robust and flexible heuristic process discovery technique, http://www.processmining.be/fodina/ (last accessed: March 27, 2014)
23. vanden Broucke, S.K.L.M., De Weerdt, J., Baesens, B., Vanthienen, J.: Improved artificial negative event generation to enhance process event logs. In: Ralyté, J., Franch, X., Brinkkemper, S.,Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 254-269. Springer, Heidelberg (2012)
24. De Weerdt, J., De Backer, M., Vanthienen, J., Baesens, B.: A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. Inf. Syst. 37(7) (2012)
25. Weijters, A.J.M.M., Ribeiro, J.T.S.: Flexible Heuristics Miner (FHM). In: Proc. of CIDM. IEEE (2011)