Mining most specific workflow models from event-based data

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

Volumn 2678, Issue , 2003, Pages 25-40

  Schimm, Guido ^a  

^a OFFIS INSTITUTE FOR INFORMATION TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ENTERPRISE RESOURCE MANAGEMENT; PETRI NETS;

BLOCK STRUCTURED; DATA MINING AND KNOWLEDGE DISCOVERY; EVENT-BASED; EXTRACTION PROCEDURE; MODEL REPRESENTATION; WORKFLOW MODELING; WORKFLOW MODELS;

DATA MINING;

EID: 33745168373     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44895-0_3     Document Type: Article

References (8)

1. Fayyad, U., Piatesky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Magazine (1996) 37-54
2. WorkflowManagementCoalition: Interface 1: Process definition interchange process model. http://www.wfmc.org/standards/docs/TC-1016-P-v11-IF1-Process-definition- Interchange-pdf (1999) Document Number WfMC TC-1016-P.
3. Agrawal, R., Gunopulos, D., Leymann, F.: Mining process models from workflow logs. In: Proceedings of the 6. International Conference on Extending Database Technology (EDBT). (1998) 469-483
4. Agrawal, R., Gunopulos, D., Leymann, F.: Mining process models from workflow logs. IBM Research Report RJ 10100, IBM Almaden Research Center / IBM German Software Development Lab (1998) www.almaden.ibm.com/cs/quest.
5. Herbst, J., Karagiannis, D.: Integrating machine learning and workflow management to support acquisition and adaption of workflow models. In: Proceedings of the Ninth International Workshop on Database and Expert Systems Applications, IEEE (1998) 745-752 IEEE.
6. Herbst, J.: Ein induktiver Ansatz zur Akquisition und Adaption von Workflow-Modellen. Dissertation, Universität Ulm (2001)
7. van der Aalst, W.: Process design by discovery: Harvesting workflow knowledge from ad-hoc executions. (In Jarke, M., O'Leary, D., Studer, R., eds.: Knowledge Management: An Interdisciplinary Approach, Dagstuhl Seminar Report Nr. 281) http://aifbhermes.aifb.uni-karlsruhe.de/dagstuhl-km-2000.
8. van der Aalst, W., Weijters, A.: Workflow mining - discovering workflow models from event-based data. In: Proceedings ECAI Workshop "Knowledge Discovery from Temporal and Spatial Data", ECAI 2002, Lyon (22.06.2002) 78-84 http://tasda.elibel.tm.fr/ecai02/w12.pdf.