Constructs competition miner: Process control-flow discovery of BP-domain constructs

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

Volumn 8659 LNCS, Issue , 2014, Pages 134-150

  Redlich, David ^a,b   Molka, Thomas ^a,c   Gilani, Wasif ^a   Blair, Gordon ^b   Rashid, Awais ^b  

^a SAP Research Center   (United Kingdom)

^b LANCASTER UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

business process management; business process models; process discovery

Indexed keywords

PETRI NETS;

BUSINESS ANALYSTS; BUSINESS PROCESS MANAGEMENT; BUSINESS PROCESS MODEL; EVALUATION RESULTS; PROCESS DISCOVERY; PROCESS MODELING; SUITABLE SOLUTIONS; TOP-DOWN APPROACH;

ENTERPRISE RESOURCE MANAGEMENT;

EID: 84906735461     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10172-9_9     Document Type: Conference Paper

References (15)

1. Buijs, J., Van Dongen, B., Van Der Aalst, W.: A genetic algorithm for discovering process trees. In: Evolutionary Computation (CEC), pp. 1-8. IEEE (2012)
2. Dehnert, J., Van Der Aalst, W.: Bridging The Gap Between Business Models And Workflow Specifications. Int. J. Cooperative Inf. Syst. 13, 289-332 (2004)
3. Galushka, M., Gilani, W.: DrugFusion - Retrieval Knowledge Management for Prediction of Adverse Drug Events. In: Abramowicz, W., Kokkinaki, A. (eds.) BIS 2014. LNBIP, vol. 176, pp. 13-24. Springer, Heidelberg (2014)
4. 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)
5. Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Discovering Block-Structured Process Models from Event Logs - A Constructive Approach. In: Colom, J.-M., Desel, J. (eds.) PETRI NETS 2013. LNCS, vol. 7927, pp. 311-329. Springer, Heidelberg (2013)
6. Leemans, S., Fahland, D., Van Der Aalst, W.: Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour, In: Business Process Management Workshops 2013, LNBIP, pp. 66-78, Springer (2013)
7. OMG Inc: Business Process Model and Notation (BPMN) Specification 2.0 (2011), http://www.omg.org/spec/BPMN/2.0/PDF (formal January 03, 2011)
8. Petri, C.A.: Kommunikation mit Automaten. PhD thesis. Rheinisch-Westfälisches Institut f. instrumentelle Mathematik (1962)
9. Polyvyanyy, A., García-Bañuelos, L., Fahland, D.,Weske, M.: Maximal Structuring of Acyclic Process Models. The Computer Journal 57(1), 12-35 (2014)
10. Weijters, A., Van Der Aalst, W., Alves de Medeiros, A.: Process Mining with the Heuristics Miner-algorithm. BETA Working Paper Series, WP 166, Eindhoven University of Technology (2006)
11. Van Der Aalst, W., Weijters, A., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128-1142 (2004)
12. Van Der Aalst, W., Ter Hofstede, A.: YAWL: Yet Another Workflow Language (2003)
13. Van Der Aalst, W.: Process Mining - Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
14. Van Der Aalst, W., Adriansyah, A., Van Dongen, B.: Replaying history on process models for conformance checking and performance analysis. WIREs Data Mining and Knowledge Discovery 2(2), 182-192 (2012)
15. Van Dongen, B., De Medeiros, A., Verbeek, H., Weijters, A., Van Der Aalst, W.: The ProM framework: A new era in process mining tool support. Applications and Theory of Petri Nets 2005, pp. 1105-1116 (2005)