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Volumn , Issue , 2015, Pages 1247-1254

Diversity guided evolutionary mining of hierarchical process models

Author keywords

Business process management; Evolutionary algorithms; Population diversity; Process mining

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ENTERPRISE RESOURCE MANAGEMENT; OPTIMIZATION; PETRI NETS;

EID: 84963668294     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2739480.2754765     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 5
    • 84861093725 scopus 로고    scopus 로고
    • A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs
    • J. De Weerdt, M. De Backer, J. Vanthienen, B. Baesens. A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. Information Systems 37(7):654-676, 2012.
    • (2012) Information Systems , vol.37 , Issue.7 , pp. 654-676
    • De Weerdt, J.1    De Backer, M.2    Vanthienen, J.3    Baesens, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.