Using genetic process mining technology to construct a time-interval process model

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

Volumn 5579 LNAI, Issue , 2009, Pages 113-122

  Tsai, Chieh Yuan ^a   Chen, I Ching ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Genetic Algorithm; Process Mining; Time interval

Indexed keywords

GENETIC PROCESS MINING; LOCAL SEARCH STRATEGY; PRECISION EVALUATION; PROCESS MINING; PROCESS MODEL; TIME-INTERVAL;

INTELLIGENT SYSTEMS; MINING; PROCESS MONITORING;

QUALITY CONTROL;

EID: 70350639323     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02568-6_12     Document Type: Conference Paper

References (15)

1. Van der Aalst, W.M.P., van Dongen, B.F.: Discovery workflow performance models from timed logs. In: Han, Y., Tai, S., Wikarski, D. (eds.) EDCIS 2002. LNCS, vol. 2480, pp. 45-63. Springer, Heidelberg (2002)
2. Alves de Medeiros, A.K., van Dongen, B.F., van der Aalst, W.M.P., Weijters, A.J.M.M.: Process Mining: Extending the α-algorithm to Mine Short Loops. BETA Working Paper Series (WP 113), Eindhoven University of Technology, Eindhoven (2004)
3. Ren, C., Wen, L., Dong, J., Ding, H., Wang, W., Qiu, M.: A novel approach for process mining based on event types. In: IEEE International Conference on Services Computing (SCC 2007), vol. 4278740, pp. 721-722 (2007)
4. De Medeiros, A.K.A., 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)
5. Van Der Aalst, W., Weijters, T., Maruster, L.: Workflow mining: Discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128-1142 (2004)
6. De Medeiros, A.K.A., Van Der Aalst, W.M.P., Weijters, A.J.M.M.: Workflow Mining: Current Status and Future Directions. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS (LNAI), vol. 2888, pp. 389-406. Springer, Heidelberg (2003)
7. Alves de Medeiros, A.K., Weijters, A.J.M.M., van der Aalst, W.M.P.: Using genetic algorithms to mine process models: Representation, operators and results. BETA Working Paper Series (WP 124), Eindhoven University of Technology, Eindhoven (2004)
8. Cook, J.E., Du, Z., Wolf, A.L.: Discovering Models of Behavior for Concurrent Workflows. Computers in Industry 53(3), 297-319 (2004)
9. Agrawal, R., Gunopulos, D., Leymann, F.: Mining Process Models from Workflow Logs. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, p. 469. Springer, Heidelberg (1998)
10. Cook, J.E., Wolf, A.L.: Discovering models of software processes from event-based data. ACM Transactions on Software Engineering and Methodology 7(3), 215-249 (1998)
11. Cook, J.E., Wolf, A.L.: Event-based detection of concurrency. In: Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering, pp. 35-45 (1998)
12. Van der Aalst, W.M.P., Weijters, A.J.M.M.: Process mining: a research agenda. Computers in Industry 53, 231-244 (2004)
13. De Medeiros, A.K.A., Van Dongen, B.F., Van Der Aalst, W.M.P., Weijters, A.J.M.M.: Process mining for ubiquitous mobile systems: An overview and a concrete algorithm. In: Baresi, L., Dustdar, S., Gall, H.C., Matera, M. (eds.) UMICS 2004. LNCS (LNAI), vol. 3272, pp. 151-165. Springer, Heidelberg (2004)
14. Wen, L., Van Der Aalst, W.M.P., Wang, J., Sun, J.: Mining process models with non-free-choice constructs. Data Mining and Knowledge Discovery 15(2), 145-180 (2007)
15. 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)