메뉴 건너뛰기




Volumn 1704, Issue , 1999, Pages 23-31

Rule discovery in large time-series medical databases

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS; HOSPITALS; INFORMATION USE; NEURONS; TIME SERIES;

EID: 78149339079     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48247-5_3     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 8
    • 0030294410 scopus 로고    scopus 로고
    • Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants
    • Miksch, S., Horn, W., Popow, C., and Paky, F. Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants. Arti_cial Intelligentce in Medicine, 8, 543-576, 1996.
    • (1996) Arti_Cial Intelligentce in Medicine , vol.8 , pp. 543-576
    • Miksch, S.1    Horn, W.2    Popow, C.3    Paky, F.4
  • 9
    • 0029307417 scopus 로고
    • PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods
    • Tsumoto, S. and Tanaka, H., PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods. Computational Intelligence, 11, 389-405, 1995.
    • (1995) Computational Intelligence , vol.11 , pp. 389-405
    • Tsumoto, S.1    Tanaka, H.2
  • 10
    • 0013342497 scopus 로고    scopus 로고
    • Knowledge Discovery in Medical MultiDatabases: A Rough Set Ap- proach
    • Tsumoto, S. Knowledge Discovery in Medical MultiDatabases: A Rough Set Ap- proach, Proceedings of PKDD99(in this issue), 1999.
    • (1999) Proceedings of PKDD99
    • Tsumoto, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.