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Volumn 615, Issue , 2010, Pages 34-39

ProM 6: The process mining toolkit

Author keywords

[No Author keywords available]

Indexed keywords

PROCESS ANALYSIS; PROCESS MINING; REAL-LIFE APPLICATIONS; RESEARCH FIELDS; TIGHT INTEGRATIONS;

EID: 79960274887     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (146)

References (8)
  • 5
    • 0032328790 scopus 로고    scopus 로고
    • Automating the discovery of as-is business process models: Probabilistic and algorithmic approaches
    • A. Datta. Automating the Discovery of As-Is Business Process Models: Probabilistic and Algorithmic Approaches. Information Systems Research, 9(3):275{301, 1998.
    • (1998) Information Systems Research , vol.9 , Issue.3 , pp. 275-301
    • Datta, A.1
  • 6
    • 26444580289 scopus 로고    scopus 로고
    • The prom framework: A new era in process mining tool support
    • G. Ciardo and P. Darondeau, editors, volume 3536 of Lecture Notes in Computer Science, Springer-Verlag, Berlin
    • 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, Application and Theory of Petri Nets 2005, volume 3536 of Lecture Notes in Computer Science, pages 444{454. Springer-Verlag, Berlin, 2005.
    • (2005) Application and Theory of Petri Nets 2005 , pp. 444-454
    • Dongen, B.F.V.1    Alves De Medeiros, A.K.2    Verbeek, H.M.W.3    Weijters, A.J.M.M.4    Van Der Aalst, W.M.P.5
  • 7
  • 8
    • 84974712025 scopus 로고    scopus 로고
    • A machine learning approach to workow management
    • volume 1810 of Lecture Notes in Computer Science, Springer-Verlag, Berlin
    • J. Herbst. A Machine Learning Approach to Workow Management. In Proceedings 11th European Conference on Machine Learning, volume 1810 of Lecture Notes in Computer Science, pages 183{194. Springer-Verlag, Berlin, 2000.
    • (2000) Proceedings 11th European Conference on Machine Learning , pp. 183-194
    • Herbst, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.