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Volumn , Issue , 2003, Pages 3407-3412

Data mining can help human supervisory control of critical complex industrial systems

Author keywords

Critical systems; Data mining; Data overload; Human supervisory control; Power plant emissions

Indexed keywords

CONTROL ENGINEERING;

EID: 84983164693     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2003.7086567     Document Type: Conference Paper
Times cited : (1)

References (14)
  • 8
    • 85088769839 scopus 로고
    • x control intelligent system (GNOCIS)
    • Project Profile 103, ETSU
    • x control intelligent system (GNOCIS). Coal R & D Program, Project Profile 103, ETSU, (1994).
    • (1994) Coal R & D Program
    • Holmes, K.1    Mayes, L.W.2
  • 9
    • 0012493440 scopus 로고    scopus 로고
    • Understanding perceived complexity in human supervisory control
    • Springer-Verlag London
    • K. Li, and P. A. Wieringa. Understanding perceived complexity in human supervisory control. Cognition, Technology & Work, Springer-Verlag London, 2:75-88, (2000).
    • (2000) Cognition, Technology & Work , vol.2 , pp. 75-88
    • Li, K.1    Wieringa, P.A.2
  • 14
    • 15744364560 scopus 로고    scopus 로고
    • Can we ever escape from data overload? A cognitive systems diagnosis
    • Springer-Verlag London
    • D. D. Woods, E. S. Patterson and E. M. Roth. Can we ever escape from data overload? A cognitive systems diagnosis. Cognition, Technology & Work, Springer-Verlag London, 4, pp. 22-36, (2002).
    • (2002) Cognition, Technology & Work , vol.4 , pp. 22-36
    • Woods, D.D.1    Patterson, E.S.2    Roth, E.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.