Mining process models with prime invisible tasks

Data and Knowledge Engineering

Volumn 69, Issue 10, 2010, Pages 999-1021

  Wen, Lijie ^a,c,d   Wang, Jianmin ^a,c,d   Van Der Aalst, Wil M P ^b   Huang, Biqing ^a   Sun, Jiaguang ^a,c,d  

^a TSINGHUA UNIVERSITY   (China)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^d TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Invisible tasks; Petri nets; Process mining; Workflow log

Indexed keywords

BUSINESS PROCESS; CONSTRUCTION ALGORITHMS; INVISIBLE TASKS; LIFE LOG; MINING PROCESS; NEW PROCESS; ORDERING RELATIONS; PROCESS MINING; PROCESS MODEL; REDUCTION RULES; STRUCTURAL FEATURE; WORKFLOW LOG;

ALGORITHMS; GRAPH THEORY; MANAGEMENT; MINING; PETRI NETS; SECURITY OF DATA;

DATA MINING;

EID: 77956342581     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2010.06.001     Document Type: Article

References (39)

1. W.M.P. van der Aalst The application of Petri nets to workflow management The Journal of Circuits, Systems and Computers 8 1 1998 21 66
2. W.M.P. van der Aalst, and B.F. van Dongen Discovering workflow performance models from timed logs Y. Han, S. Tai, D. Wikarski, International Conference on Engineering and Deployment of Cooperative Information Systems Lecture Notes in Computer Science volume 2480 2002 Springer-Verlag Berlin 45 63
3. W.M.P. van der Aalst, B.F. van Dongen, C.W. Günther, R.S. Mans, A.K. Alves de Medeiros, A. Rozinat, V. Rubin, M. Song, H.M.W. Verbeek, and A.J.M.M. Weijters Prom 4.0: comprehensive support for real process analysis J. Kleijn, A. Yakovlev, The 28th International Conference on Applications and Theory of Petri Nets (ICATPN 2007) Lecture Notes in Computer Science volume 4546 2007 Springer-Verlag Berlin 484 494
4. 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 and Knowledge Engineering 47 2 2003 237 267
5. W.M.P. van der Aalst, V. Rubin, H.M.W. Verbeek, B.F. van Dongen, E. Kindler, and C.W. Günther Process mining: a two-step approach to balance between underfitting and overfitting Software and Systems Modeling 2008 Springer
6. W.M.P. van der Aalst, A.J.M.M. Weijters, Process Mining, Special Issue of Computers in Industry Volume 53, Number 3 2004 Elsevier Science Publishers Amsterdam
7. 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
8. 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
9. W.M.P. van der Aalst, M. Weske, and D. Grünbauer Case handling: a new paradigm for business process support Data and Knowledge Engineering 53 2 2005 129 162
10. R. Agrawal, D. Gunopulos, and F. Leymann Mining process models from workflow logs I. Ramos, G. Alonso, H.J. Schek, The Sixth International Conference on Extending Database Technology 1998 469 483
11. J.E. Cook, and A.L. Wolf Automating process discovery through event-data analysis Proceedings of the 17th International Conference on Software Engineering 1995 ACM New York, NY, USA 73 82
12. J.E. Cook, and A.L. Wolf Discovering models of software processes from event-based data ACM Transactions on Software Engineering and Methodology 7 3 1998 215 249
13. 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, International Conference on Application and Theory of Petri Nets 2005 Lecture Notes in Computer Science volume 3536 2005 Springer-Verlag Berlin 444 454
14. N.Q. Du, X.J. Ye, and J.M. Wang Towards workflow-driven database system workload modeling Proceedings of the Second International Workshop on Testing Database Systems (DBTest) 2009
15. G. Greco, A. Guzzo, G. Manco, and D. Saccá Mining and reasoning on workflows IEEE Transactions on Knowledge and Data Engineering 17 4 2005 519 534
16. G. Greco, A. Guzzo, L. Pontieri, and D. Saccá Discovering expressive process models by clustering log traces IEEE Transactions on Knowledge and Data Engineering 18 8 2006 1010 1027
17. M. Hammori, J. Herbst, and N. Kleiner Interactive workflow mining requirements, concepts and implementations Data & Knowledge Engineering 56 1 2006 41 63
18. J. Herbst, and D. Karagiannis Workflow mining with InWoLvE Computers in Industry 53 3 2004 245 264
19. X.Q. Huang, L.F. Wang, W. Zhao, S.K. Zhang, and C.Y. Yuan A workflow process mining algorithm based on synchro-net Journal of Computer Science and Technology 21 1 2006 66 71
20. W. Liu, X.F. Meng, and W.Y. Meng ViDE: a vision-based approach for deep web data extraction IEEE Transactions on Knowledge and Data Engineering 22 3 2010 447 460
21. R.P. Lu, S.W. Sadiq, and G. Governatori On managing business processes variants Data & Knowledge Engineering 68 7 2009 642 664
22. L. Maruster, A.J.M.M. Weijters, W.M.P. van der Aalst, and A. van der Bosch A rule-based approach for process discovery: dealing with noise and imbalance in process logs Data Mining and Knowledge Discovery 13 1 2006 67 87
23. A.K.A. de Medeiros. Genetic Process Mining. PhH thesis, Eindhoven University of Technology, Eindhoven, 2006.
24. A.K.A. de Medeiros, W.M.P. van der Aalst, and A.J.M.M. Weijters Workflow mining: current status and future directions R. Meersman, Z. Tari, D.C. Schmidt, On The Move to Meaningful Internet Systems 2003: CoopIS DOA, and ODBASE, volume 2888 of Lecture Notes in Computer Science 2003 Springer-Verlag Berlin 389 406
25. A.K.A. de Medeiros, W.M.P. van der Aalst, and A.J.M.M. Weijters Quantifying process equivalence based on observed behavior Data & Knowledge Engineering 64 1 2008 55 74
26. A.K.A. de Medeiros, B.F. van Dongen, W.M.P. van der Aalst, and A.J.M.M. Weijters Process mining for ubiquitous mobile systems: an overview and a concrete algorithm L. Baresi, S. Dustdar, H. Gall, M. Matera, Ubiquitous Mobile Information and Collaboration Systems 2004 154 168
27. A.K.A. 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
28. H.A. Reijers, R.S. Mans, and R.A. van der Toorn Improved model management with aggregated business process models Data Mining and Knowledge Discovery 68 2 2009 221 243
29. W. Reisig, G. Rozenberg, Lectures on Petri Nets I: Basic Models Lecture Notes in Computer Science volume 1491 1998 Springer-Verlag Berlin
30. A. Rozinat, and W.M.P. van der Aalst Conformance testing: measuring the fit and appropriateness of event logs and process models C. Bussler, BPM 2005 Workshops Lecture Notes in Computer Science volume 3812 2006 Springer-Verlag Berlin 163 176
31. A. Rozinat, and W.M.P. van der Aalst Decision mining in ProM S. Dustdar, J.L. Faideiro, A. Sheth, The Fourth International Conference on Business Process Management Lecture Notes in Computer Science volume 4102 2006 Springer-Verlag Berlin 420 425
32. A. Rozinat, M.T. Wynn, W.M.P. van der Aalst, A.H.M. ter Hofstede, and C.J. Fidge Workflow simulation for operational decision support Data & Knowledge Engineering 68 9 2009 834 850
33. G. Schimm Mining exact models of concurrent workflows Computers in Industry 53 3 2004 265 281
34. R. Silva, J.J. Zhang, and J.G. Shanahan Probabilistic workflow mining KDD'05 2005, August 21-24 275 284 Chicago, Illinois, USA
35. J.W. Su, and D. Lomet Special issue on management of data-centric business workflows Bulletin of the Technical Committee on Data Engineering 32 3 2009
36. 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
37. L.J. Wen, W.M.P. van der Aalst, J.M. Wang, and J.G. Sun Mining process models with non-free-choice constructs Data Mining and Knowledge Discovery 15 2 2007 145 180
38. L.J. Wen, J.M. Wang, and J.G. Sun Detecting implicit dependencies between tasks from event logs X. Zhou, X. Lin, H. Lu, The 8th Asia - Pacific Web Conference (APWeb 2006) Lecture Notes in Computer Science volume 3841 2006 Springer-Verlag Berlin 591 603
39. L.J. Wen, J.M. Wang, and J.G. Sun Mining invisible tasks from event logs G.Z. Dong, X.M. Lin, W. Wang, Y. Yang, The Joint Conference of the 9th Asia-Pacific Web Conference and the 8th International Conference on Web-Age Information Management Lecture Notes in Computer Science volume 4505 2007 Springer-Verlag Berlin 358 365