메뉴 건너뛰기




Volumn 7, Issue 6, 2013, Pages 1913-1917

Analysis framework using process mining for block movement process in shipyards

Author keywords

Block movement; Event logs; Fuzzy mining; Process mining; Shipbuilding; Shipyard; Trace clustering; Transportation

Indexed keywords

BLOCK MOVEMENT; EVENT LOGS; FUZZY MINING; PROCESS MINING; TRACE CLUSTERING;

EID: 84874873156     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (5)
  • 1
    • 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 and B. Baesens, A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs, Information Systems, vol.37, pp.654-676, 2012.
    • (2012) Information Systems , vol.37 , pp. 654-676
    • de Weerdt, J.1    de Backer, M.2    Vanthienen, J.3    Baesens, B.4
  • 3
    • 84866136981 scopus 로고    scopus 로고
    • Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry
    • S. Lee, B. Kim, M. Huh, S. Cho, S. Park and D. Lee, Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry, Expert Systems with Applications, vol.40, no.1, pp.83-95, 2013.
    • (2013) Expert Systems With Applications , vol.40 , Issue.1 , pp. 83-95
    • Lee, S.1    Kim, B.2    Huh, M.3    Cho, S.4    Park, S.5    Lee, D.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.