An experimental evaluation of passage-based process discovery

Lecture Notes in Business Information Processing

Volumn 132 LNBIP, Issue , 2013, Pages 205-210

  Verbeek, H M W ^a   Van Der Aalst, Wil M P ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Fitness; Passages; Petri nets; Process Discovery

Indexed keywords

ENTERPRISE RESOURCE MANAGEMENT; PETRI NETS;

EVENT CLASS; EXPERIMENTAL EVALUATION; FITNESS; LIFE EVENTS; MULTIPLE EVENTS; PASSAGES; PROCESS DISCOVERY; PROCESS MINING;

COMPUTATIONAL COMPLEXITY;

EID: 84873208628     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-36285-9_21     Document Type: Conference Paper

References (6)

1. van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
2. 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)
3. van der Werf, J.M.E.M., van Dongen, B.F., Hurkens, C.A.J., Serebrenik, A.: Process discovery using integer linear programming. Fundam. Inform. 94(3-4), 387-412 (2009)
4. van der Aalst, W.M.P.: Decomposing Process Mining Problems Using Passages. In: Haddad, S., Pomello, L. (eds.) PETRI NETS 2012. LNCS, vol. 7347, pp. 72-91. Springer, Heidelberg (2012)
5. Verbeek, H.M.W., van der Aalst, W.M.P.: An experimental evaluation of passage-based process discovery. BPM Center Report BPM-12-14, BPMcenter.org (2012)
6. van Dongen, B.F.: BPI challenge 2012. Dataset (2012), http://dx.doi.org/10.4121/uuid:3926db30-f712-4394-aebc-75976070e91f