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Volumn 1, Issue , 2002, Pages 536-539

Study of data mining based machinery fault diagnosis

Author keywords

Class model; Classification; Clustering; Data mining; Fault diagnosis

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONDITION MONITORING; DATA WAREHOUSES; DATABASE SYSTEMS; FAILURE ANALYSIS; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; ONLINE SYSTEMS; PROBABILITY DENSITY FUNCTION; ROTATING MACHINERY; STATISTICAL METHODS;

EID: 0036921054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 1
    • 0033883192 scopus 로고    scopus 로고
    • A new edited k-nearest neighbor rule in the pattern classification problem
    • K. Hattori, M. Takahashi, A new edited k-nearest neighbor rule in the Pattern classification problem, Pattern Recognition 33(2000) 521-528.
    • (2000) Pattern Recognition , vol.33 , pp. 521-528
    • Hattori, K.1    Takahashi, M.2
  • 2
    • 0003641269 scopus 로고    scopus 로고
    • Advances in knowledge discovery and data mining
    • AAAI/MIT press
    • U.M. Fayyad, Advances in Knowledge Discovery and Data Mining AAAI/MIT press 1996
    • (1996)
    • Fayyad, U.M.1
  • 3
    • 0004009232 scopus 로고    scopus 로고
    • Bayesian classification theory
    • Technical Report FIA-90-12-7-01
    • Robin Hanson, John Stutz, Peter Cheeseman. Bayesian Classification Theory, Technical Report FIA-90-12-7-01
    • Hanson, R.1    Stutz, J.2    Cheeseman, P.3
  • 4
    • 0012325521 scopus 로고
    • An improved automatic classification of a landsat/TM image from kansas (FIFE)
    • Technical Report, FIA-94-01, NASA Ames Research Center, Moffet Field, California
    • B. Kanefky, J. Stutz and P. Cheeseman. An Improved Automatic Classification of a Landsat/TM Image From Kansas (FIFE). Technical Report, FIA-94-01, NASA Ames Research Center, Moffet Field, California, 1994
    • (1994)
    • Kanefky, B.1    Stutz, J.2    Cheeseman, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.