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Volumn 1, Issue , 2005, Pages 347-359

A domain independent data mining methodology for prognostics

Author keywords

Aircraft health monitoring; Component failure prediction; Data mining; Train wheel monitoring

Indexed keywords

COMPONENT FAILURES; DATA LABELING; DATA MINING ALGORITHM; DATA SELECTION; HEALTH MONITORING; MODEL EVALUATION; MODEL INTEGRATION; OPERATIONAL DATA; TRAIN WHEEL;

EID: 84868629780     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (8)
  • 1
    • 84868620960 scopus 로고    scopus 로고
    • ADAM project at the National Research Council of Canada. Website. http://iit-iti.nrc-cnrc.gc.ca/projects-projets/adam-e.html.
  • 7
    • 85101511266 scopus 로고    scopus 로고
    • Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions
    • Heckerman, D., Mannila, H., Pregibon, D., & Uthurusamy, R. (Eds.). AAAI Press
    • Provost, F. & Fawcett, T. (1997). Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions. In Heckerman, D., Mannila, H., Pregibon, D., & Uthurusamy, R. (Eds.), Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), (pp. 43-48). AAAI Press.
    • (1997) Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97) , pp. 43-48
    • Provost, F.1    Fawcett, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.