Discovering process models from unlabelled event logs

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

Volumn 5701 LNCS, Issue , 2009, Pages 143-158

  Ferreira, Diogo R ^a   Gillblad, Daniel ^b  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b SWEDISH INSTITUTE OF COMPUTER SCIENCE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EXAMPLE BASED; PROBABILISTIC APPROACHES; PROCESS INSTANCES; PROCESS MINING; PROCESS MODEL; TECHNICAL SUPPORT; WORKFLOW PATTERNS;

ENTERPRISE RESOURCE MANAGEMENT; PROCESS MONITORING;

SECURITY OF DATA;

EID: 70349325936     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03848-8_11     Document Type: Conference Paper

References (16)

1. Hollingsworth, D.: The workflow reference model. Document Number TC00-1003, Workflow Management Coalition (1995)
2. van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M.: Business process management: A survey. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 1-12. Springer, Heidelberg (2003)
3. van der Aalst, W.M.P., van Dongen, B.F., Herbst, J., Maruster, L., Schimm, G., Weijters, A.J.M.M.: Workflow mining: A survey of issues and approaches. Data and Knowledge Engineering 47(2), 237-267 (2003)
4. Ferreira, D., Zacarias, M., Malheiros, M., Ferreira, P.: Approaching process mining with sequence clustering: Experiments and findings. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 360-374. Springer, Heidelberg (2007)
5. Buffett, S., Geng, L.: Bayesian classification of events for task labeling using workflow models. In: Proceedings of the 4th Workshop on Business Process Intelligence, BPI 2008 (2008)
6. Ferreira, D., Mira da Silva, M.: Using process mining for ITIL assessment: a case study with incident management. In: Proceedings of the 13th Annual UKAIS Conference, Bournemouth University (April 2008)
7. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society 39(1), 1-38 (1977)
8. van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow mining: Discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128-1142 (2004)
9. Weijters, A.J.M.M., van der Aalst, W.M.P., Alves de Medeiros, A.K.: Process mining with the heuristics miner algorithm. BETA Working Paper Series WP 166, Eindhoven University of Technology (2006)
10. Alves de Medeiros, A.K., Weijters, A.J.M.M., van der Aalst, W.M.P.: Genetic process mining: An experimental evaluation. Data Mining and Knowledge Discovery 14(2), 245-304 (2007)
11. Günther, C.W., van der Aalst, W.M.P.: Fuzzy mining - adaptive process simplification based on multi-perspective metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328-343. Springer, Heidelberg (2007)
12. van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W(E.), Weijters, A.J.M.M.T., van der Aalst, W.M.P.: The proM framework: A new era in process mining tool support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444-454. Springer, Heidelberg (2005)
13. van der Aalst, W.M.P., ter Hofstede, A.H.M., Kiepuszewski, B., Barros, A.P.: Workflow patterns. Distributed and Parallel Databases 14(3), 5-51 (2003)
14. Cook, J.E., Du, Z., Liu, C., Wolf, A.L.: Discovering models of behavior for concurrent workflows. Computers in Industry 53, 297-319 (2004)
15. Alves de Medeiros, A.K., van Dongen, B.F., van der Aalst, W.M.P., Weijters, A.J.M.M.: Process mining: Extending the a-algorithm to mine short loops. BETA Working Paper Series WP 113, Eindhoven University of Technology (2004)
16. Rozinat, A., van der Aalst, W.M.P.: Conformance checking of processes based on monitoring real behavior. Information Systems 33(1), 64-95 (2008)