A novel approach for process mining based on event types

Proceedings - 2007 IEEE International Conference on Services Computing, SCC 2007

Volumn , Issue , 2007, Pages 721-722

  Ren, Changrui ^a   Wen, Lijie ^a,b   Dong, Jin ^a   Ding, Hongwei ^a   Wang, Wei ^a   Qiu, Minmin ^a  

^a IBM CHINA RESEARCH LAB   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; PARALLEL PROCESSING SYSTEMS; PETRI NETS;

A-ALGORITHM; PROCESS MINING; SHORT-LOOPS;

DATA MINING;

EID: 35248875318     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCC.2007.12     Document Type: Conference Paper

References (3)

1. B.F. van Dongen, A.K. Alves de Medeiros, H.M.W. Verbeek, A.J.M.M. Weijters, and W.M.P. van der Aalst. The prom framework: A new era in process mining tool support. In G. Ciardo and P. Darondeau, editors, International Conference on Application and Theory of Petri Nets 2005, volume 3536 of Lecture Notes in Computer Science, pages 444-454. Springer-Verlag, Berlin, 2005.
2. L.J. Wen, J.M. Wang, W.M.P. van der Aalst, Z. Wang, and J.G. Sun. A Novel Approach for Process Mining Based on Event Types. BETA Working Paper Series, WP 118, Eindhoven University of Technology, Eindhoven, 2004.
3. W.M.P. van der Aalst, B.E van Dongen, J. Herbst, L. Maruster, G. Schimm, and A.J.M.M. Weijters. Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering, 47(2): 237-267, 2003.