Multi-phase process mining: Building instance graphs

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

Volumn 3288, Issue , 2004, Pages 362-376

  Van Dongen, B F ^a   Van Der Aalst, W M P ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Business process management; Event driven process chains; Process mining; Workflow management

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CHAINS; ENTERPRISE RESOURCE MANAGEMENT; VISUALIZATION; WORK SIMPLIFICATION;

BUSINESS PROCESS MANAGEMENT; ERROR PRONE TASKS; EVENT DRIVEN PROCESS CHAIN; PROCESS INSTANCES; PROCESS MINING; PROCESS MODELING; VISUALIZATION AND ANALYSIS; WORKFLOW MANAGEMENTS;

DATA MINING;

EID: 35048864795     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30464-7_29     Document Type: Article

References (21)

1. W.M.P. van der Aalst and B.F. van Dongen. Discovering Workflow Performance Models from Timed Logs. In Y. Han, S. Tai, and D. Wikarski, editors, International Conference on Engineering and Deployment of Cooperative Information Systems (EDCIS 2002), volume 2480 of Lecture Notes in Computer Science, pages 45-63. Springer-Verlag, Berlin, 2002.
2. W.M.P. van der Aalst and M. Song. Mining Social Networks: Uncovering interaction patterns in business processes. In M. Weske, B. Pernici, and J. Desel, editors, International Conference on Business Process Management, volume 3080 of Lecture Notes in Computer Science, pages 244-260. Springer-Verlag, Berlin, 2004.
3. 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):237-267, 2003.
4. W.M.P. van der Aalst and A.J.M.M. Weijters, editors. Process Mining, Special Issue of Computers in Industry, Volume 53, Number 3. Elsevier Science Publishers, Amsterdam, 2004.
5. W.M.P. van der Aalst, A.J.M.M. Weijters, and L. Maruster. Workflow Mining: Discovering Process Models from Event Logs. QUT Technical report, FIT-TR-2003-03, Queensland University of Technology, Brisbane, 2003. (Accepted for publication in IEEE Transactions on Knowledge and Data Engineering.).
6. R. Agrawal, D. Gunopulos, and F. Leymann. Mining Process Models from Workflow Logs. In Sixth International Conference on Extending Database Technology, pages 469-483, 1998.
7. J.E. Cook and A.L. Wolf. Discovering Models of Software Processes from EventBased Data. ACM Transactions on Software Engineering and Methodology, 7(3):215-249, 1998.
8. J. Desel. Validation of Process Models by Construction of Process Nets. In W.M.P. van der Aalst, J. Desel, and A. Oberweis, editors, Business Process Management: Models, Techniques, and Empirical Studies, volume 1806 of Lecture Notes in Computer Science, pages 110-128. Springer-Verlag, Berlin, 2000.
9. J. Desel and J. Esparza. Free 'Choice Petri Nets, volume 40 of Cambridge Tracts in Theoretical Computer Science. Cambridge University Press, 1995.
10. J. Desel, G. Juhas, R. Lorenz, and C. Neumair. Modelling and Validation with VipTool. In W.M.P. van der Aalst, A.H.M. ter Hofstede, and M. Weske, editors, International Conference on Business Process Management (BPM 2003), volume 2678 of Lecture Notes in Computer Science, pages 380-389. Springer-Verlag, 2003.
11. J. Herbst. A Machine Learning Approach to Workflow Management. In Proceedings 11th European Conference on Machine Learning, volume 1810 of Lecture Notes in Computer Science, pages 183-194. Springer-Verlag, Berlin, 2000.
12. IDS Scheer. ARIS Process Performance Manager (ARIS PPM), http://www.idsscheer.com, 2002.
13. G. Keller, M. Nüttgens, and A.W. Scheer. Semantische Processmodellierung auf der Grundlage Ereignisgesteuerter Processketten (EPK). Veröffentlichungen des Instituts für Wirtschaftsinformatik, Heft 89 (in German), University of Saarland, Saarbrücken, 1992.
14. G. Keller and T. Teufel. SAP R/3 Process Oriented Implementation. AddisonWesley, Reading MA, 1998.
15. A.K.A. de Medeiros, W.M.P. van der Aalst, and A.J.M.M. Weijters. Workflow Mining: Current Status and Future Directions. In R. Meersman, Z. Tari, and D.C. Schmidt, editors, On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE, volume 2888 of Lecture Notes in Computer Science, pages 389-406. Springer-Verlag, Berlin, 2003.
16. M. zur Mühlen and M. Rosemann. Workflow-based Process Monitoring and Controlling - Technical and Organizational Issues. In R. Sprague, editor, Proceedings of the 33rd Hawaii International Conference on System Science (HICSS-33), pages 1-10. IEEE Computer Society Press, Los Alamitos, California, 2000.
17. T. Murata. Petri Nets: Properties, Analysis and Applications. Proceedings of the IEEE, 77(4):541-580, April 1989.
18. M. Sayal, F. Casati, and M.C. Shan U. Dayal. Business Process Cockpit. In Proceedings of 28th International Conference on Very Large Data Bases (VLDB'02), pages 880-883. Morgan Kaufmann, 2002.
19. A.W. Scheer. Business Process Engineering, Reference Models for Industrial Enterprises. Springer-Verlag, Berlin, 1994.
20. Staffware. Staffware Process Monitor (SPM). http://www.staffware.com, 2002.
21. 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):151-162, 2003.