Organizational modeling from event logs

Proceedings of the 6th International Conference on Grid and Cooperative Computing, GCC 2007

Volumn , Issue , 2007, Pages 670-675

  Jin, Tao ^a,b   Wang, Jianmin ^a   Wen, Lijie ^a  

^a TSINGHUA UNIVERSITY   (China)

^b INNER MONGOLIA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MINING; RESEARCH;

COOPERATIVE COMPUTING; EVENT LOGS; FUTURE RESEARCH; INTERNATIONAL CONFERENCES; METRICS (CO); ORGANIZATIONAL MODEL (OM); PROCESS MINING; PROCESS MODELING; ROLE MINING; SIMILARITY MEASUREMENTS; TRADITIONAL TECHNIQUES;

GRID COMPUTING;

EID: 46449095144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GCC.2007.93     Document Type: Conference Paper

References (14)

1. http://is.tm.tue.nl/research/processmining/tools.htm.
2. W. Aalst, H. Reijers, and M. Song. Discovering Social Networks from Event Logs. Computer Supported Cooperative work, 14(6):549-593, 2005.
3. W. Aalst and M. Song. Mining Social Networks: Uncovering Interaction Patterns in Business Processes. In J. Desel, B. Pernici, and M. Weske, editors, International Con-ference on Business Process Management (BPM 2004), volume 3080 of Lecture Notes in Computer Science, pages 244-260. Springer-Verlag, Berlin, 2004.
4. W. Aalst, B. van Dongen, J. Herbst, L. Maruster, G. Schimm, and A. Weijters. Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering, 47(2):237-267, 2003.
5. W. Aalst and A. Weijters. Process Mining: A Research Agenda. Computers in Industry, 53(3):231-244, 2004.
6. W. Aalst, A. Weijters, and L. Maruster. Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering, 16(9):1128-1142, 2004.
7. 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.
8. L. J. De. She Hui Wang Fen Xi Jiang Yi. Social Sciences Academic Press, Beijing, China, 2005.
9. B. Dongen, A. Medeiros, H. Verbeek, A. Weijters, and W. Aalst. The ProM framework: A New Era in Process Mining Tool Support. In G. Ciardo and P. Darondeau, editors, Application and Theory of Petri Nets 2005, volume 3536 of Lecture Notes in Computer Science, pages 444-454. Springer-Verlag, Berlin, 2005.
10. D. P. R. M. Ly LT, Rinderle S. Mining staff assignment rules from event-based data. In BUSINESS PROCESS MANAGEMENT WORKSHOPS, volume 3812 of LECTURE NOTES IN COMPUTER SCIENCE, pages 177-190. SPRINGER-VERLAG BERLIN, 2006.
11. A. Medeiros, W. Aalst, and A. Weijters. Workflow Mining: Current Status and Future Directions. In R. Meersman, Z. Tari, and D. 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.
12. A. Medeiros, A. Weijters, and W. Aalst. Genetic Process Mining: A Basic Approach and its Challenges. In M. Castellanos and T. Weijters, editors, First International Workshop on Business Process Intelligence (BPI'05), pages 46-57, Nancy, France, September 2005.
13. E. C. Wainer J, Kim K. A workflow mining method through model rewriting. In GROUPWARE: DESIGN, IMPLEMENTATION, AND USE, volume 3706 of LECTURE NOTES IN COMPUTER SCIENCE, pages 184-191. SPRINGER-VERLAG BERLIN, 2005.
14. L. Wen, J. Wang, and J. Sun. Detecting implicit dependencies between tasks from event logs. In X. Zhou, X. Lin, and H. L. et al., editors, The 8th Asia-Pacific Web Conference (APWeb 2006), volume 3841 of Lecture Notes in Computer Science, pages 591-603. Springer-Verlag, Berlin, 2006.