Process discovery in event logs: An application in the telecom industry

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 1697-1710

  Goedertier, Stijn ^a   De Weerdt, Jochen ^a   Martens, David ^a,b   Vanthienen, Jan ^a   Baesens, Bart ^a,c  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

AGNEs; Data mining; Event logs; Genetic Miner; HeuristicsMiner; Process discovery; Workflow management systems (WfMS)

Indexed keywords

AGNES; EVENT LOGS; GENETIC MINER; HEURISTICSMINER; PROCESS DISCOVERY; WORKFLOW MANAGEMENT SYSTEMS;

DATA MINING; MANAGEMENT; MINERS; WORK SIMPLIFICATION;

SECURITY OF DATA;

EID: 78751625159     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.04.025     Document Type: Conference Paper

References (47)

1. G. Alonso, P. Dadam, M. Rosemann (Eds.), Business Process Management, 5th International Conference, BPM 2007, Brisbane, Australia, September 24-28, 2007, Proceedings, vol. 4714 of Lecture Notes in Computer Science, Springer, 2007.
2. R. Alur, and T.A. Henzinger A really temporal logic Journal of the ACM 41 1 1994 181 204
3. A.K. Alves de Medeiros, B.F. van Dongen, W.M.P. van der Aalst, A.J.M.M. Weijters, Process mining: extending the alpha-algorithm to mine short loops, BETA working paper series 113, Eindhoven University of Technology, 2004.
4. A.K. Alves de Medeiros, A.J.M.M. Weijters, and W.M.P. van der Aalst Genetic process mining: an experimental evaluation Data Mining and Knowledge Discovery 14 2 2007 245 304
5. H. Blockeel, and L. De Raedt Top-down induction of first-order logical decision trees Artificial Intelligence 101 1-2 1998 285 297
6. I. Cadez, D. Heckerman, C. Meek, P. Smyth, and S. White Model-based clustering and visualization of navigation patterns on a web site Data Mining and Knowledge Discovery 7 4 2003 399 424
7. J. Cortadella, M. Kishinevsky, L. Lavagno, and A. Yakovlev Deriving Petri nets from finite transition systems IEEE Transactions on Computers 47 8 1998 859 882
8. M. Dumas, W.M.P. van der Aalst, and A.H.M. ter Hofstede Process Aware Information Systems: Bridging People and Software Through Process Technology 2005 Wiley-Interscience
9. A. Eiben, and J. Smith Introduction to Evolutionary Computing (Natural Computing Series) 2003 Springer-Verlag
10. D.R. Ferreira, M. Zacarias, M. Malheiros, P. Ferreira, Approaching process mining with sequence clustering: experiments and findings, in: [1], 2007, pp. 360-374.
11. Z.-p. Gao, J. Chen, X.-s. Qiu, and L.-m. Meng QoE/QoS driven simulated annealing-based genetic algorithm for Web services selection The Journal of China Universities of Posts and Telecommunications 16 September 2009 102 107
12. S. Garner, WEKA: the waikato environment for knowledge analysis, 1995, http://www.cs.waikato.ac.nz/ml/weka/.
13. S. Goedertier, D. Martens, J. Vanthienen, and B. Baesens Robust process discovery with artificial negative events Journal of Machine Learning Research 10 2009 1305 1340
14. S. Goedertier, C. Mues, J. Vanthienen, Specifying process-aware access control rules in SBVR, in: A. Paschke, Y. Biletskiy (Eds.), Proceedings of the International Symposium Advances in Rule Interchange and Applications (RuleML 2007), vol. 4824 of Lecture Notes in Computer Science, Springer, 2007, pp. 39-52 (Best Paper Award).
15. C.W. Günther, W.M.P. van der Aalst, Fuzzy mining - adaptive process simplification based on multi-perspective metrics, in: [1], 2007, pp. 328-343.
16. M. Hammori, J. Herbst, and N. Kleiner Interactive workflow mining - requirements, concepts and implementation Data & Knowledge Engineering 56 1 2006 41 63
17. S. Mansar, and H.A. Reijers Best practices in business process redesign: validation of a redesign framework Computers in Industry 56 5 2005 457 471
18. D. Martens Building acceptable classification models for financial engineering applications: thesis summary SIGKDD Explorations 10 2 2008 30 31
19. D. Martens, M. De Backer, R. Haesen, B. Baesens, C. Mues, and J. Vanthienen Ant-based approach to the knowledge fusion problem Proceedings of the Fifth International Workshop on Ant Colony Optimization and Swarm Intelligence. Lecture Notes in Computer Science 2006 Springer 85 96
20. D. Martens, T. Van Gestel, and B. Baesens Decomposi-tional rule extraction from support vector machines by active learning IEEE Transactions on Knowledge and Data Engineering 21 2 2009 178 191
21. A.K.A.D. Medeiros, and A.J.M.M. Weijters Genetic process mining: a basic approach and its challenges Busines Process Management 2005 Workshops 2006 Springer-Verlag 203 215
22. J. Mendling, H.A. Reijers, J. Cardoso, What makes process models understandable? in: [1], 2007, pp. 48-63.
23. T. Murata Petri nets: properties, analysis and applications Proceedings of the IEEE 77 4 1989 541 580
24. P. Athena, BPMProtos - process modeling and mining tool, 2008, http://www.pallas-athena.com.
25. A. Rozinat, and W.M.P. van der Aalst Conformance checking of processes based on monitoring real behavior Information Systems 33 1 2008 64 95
26. S. Sadiq, G. Governatori, K. Namiri, Modeling control objectives for business process compliance, in: [1], 2007, pp. 149-164.
27. P.-N. Tan, M. Steinbach, and V. Kumar Introduction to Data Mining 2005 Addison-Wesley
28. W.M.P. van der Aalst, Verification of workflow nets, in: P. Azéma, G. Balbo (Eds.), Proceedings of the 18th International Conference on the Application and Theory of Petri Nets 1997 (ICATPN'97), vol. 1248 of Lecture Notes in Computer Science, Springer, 1997, pp. 407-426.
29. W.M.P. van der Aalst The application of Petri nets to workflow management Journal of Circuits, Systems, and Computers 8 1 1998 21 66
30. W.M.P. van der Aalst Exploring the CSCW spectrum using process mining Advanced Engineering Informatics 21 2 2007 191 199
31. W.M.P. van der Aalst, H.A. Reijers, A.J.M.M. Weijters, B.F. van Dongen, A.K. Alves de Medeiros, M. Song, and H.M.W. Verbeek Business process mining: an industrial application Information Systems 32 5 2007 713 732
32. W.M.P. van der Aalst, V. Rubin, B.F. van Dongen, E. Kindler, C.W. Günther, Process mining: a two-step approach using transition systems and regions, BPM-06-30, BPM Center Report, 2006.
33. W.M.P. van der Aalst, B.F. van Dongen, J. Herbst, L. Maruster, G. Schimm, and A.J.M.M. Weijters Workflow mining: a survey of issues and approaches Data & Knowledge Engineering 47 2 2003 237 267
34. W.M.P. van der Aalst, and K.M. van Hee Workflow Management: Models, Methods, and Systems 2002 MIT Press Cambridge, MA
35. W.M.P. van der Aalst, and A.J.M.M. Weijters Process mining: a research agenda Computers in Industry 53 3 2004 231 244
36. W.M.P. van der Aalst, A.J.M.M. Weijters, and L. Maruster Workflow mining: discovering process models from event logs IEEE Transactions on Knowledge and Data Engineering 16 9 2004 1128 1142
37. B.F. van Dongen, A.K. Alves de Medeiros, H.M.W. Verbeek, A.J.M.M. Weijters, and W.M.P. van der Aalst The ProM framework: a new era in process mining tool support G. Ciardo, P. Darondeau, Proceedings of the 26th International Conference on Applications and Theory of Petri Nets (ICATPN 2005), vol. 3536 of Lecture Notes in Computer Science 2005 Springer 444 454
38. B.F. van Dongen, and W.M.P. van der Aalst Multi-phase process mining: aggregating instance graphs into EPCs and Petri nets Proceedings of the 2nd International Workshop on Applications of Petri Nets to Coordination, Workflow and Business Process Management (PNCWB) 2005
39. K.M. van Hee, O. Oanea, A. Serebrenik, N. Sidorova, and M. Voorhoeve History-based joins: semantics, soundness and implementation S. Dustdar, J. Fiadeiro, A. Sheth, Business Process Management, vol. 4102 of Lecture Notes in Computer Science 2006 Springer 225 240
40. K.M. van Hee, O. Oanea, A. Serebrenik, N. Sidorova, and M. Voorhoeve Modelling history-dependent business processes MSVVEIS 2006 76 85
41. K. Vergidis, a. Tiwari, B. Majeed, and R. Roy Optimisation of business process designs: an algorithmic approach with multiple objectives International Journal of Production Economics 1-2 2007 105 121
42. B. Weber, S. Rinderle, and M. Reichert Change patterns and change support features in process-aware information systems J. Krogstie, A.L. Opdahl, G. Sindre, CAiSE, vol. 4495 of Lecture Notes in Computer Science 2007 Springer 574 588
43. A.J.M.M. Weijters, and W.M.P. van der Aalst Rediscovering workflow models from event-based data using little thumb Integrated Computer-Aided Engineering 10 2 2003 151 162
44. A.J.M.M. Weijters, W.M.P. van der Aalst, A.K. Alves de Medeiros, Process mining with the heuristicsminer algorithm, BETA working paper series 166, Eindhoven University of Technology, 2006.
45. L. Wen, W.M.P. van der Aalst, J. Wang, and J. Sun Mining process models with non-free-choice constructs Data Mining and Knowledge Discovery 15 2 2007 145 180
46. I.H. Witten, and E. Frank Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations 2000 Morgan Kaufmann Publishers Inc. San Francisco, CA, USA
47. M. zur Muehlen Workflow-based process controlling Foundation, Design, and Implementation of Workflow-driven Process Information Systems, vol. 6 of Advances in Information Systems and Management Science Logos, Berlin 2004