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Volumn , Issue , 2005, Pages 596-600

CBS: A new classification method by using sequential patterns

Author keywords

Classification; Data mining; Sequential pattern; Time series data

Indexed keywords

DATA MINING; DECISION TREES; ELECTRIC CIRCUIT BREAKERS; GENE EXPRESSION; LARGE DATASET; SPACE DIVISION MULTIPLE ACCESS; TIME SERIES;

EID: 70349927871     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.68     Document Type: Conference Paper
Times cited : (37)

References (12)
  • 6
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuous valued attributes for classification learning
    • R. Bajcsy (Ed.) Morgan Kaufmann
    • U. M. Fayyad and K. B. Irani, Multi-interval discretization of continuous valued attributes for classification learning. In R. Bajcsy (Ed.), Proc. of the 13 International Joint Conference on Artificial Intelligence, pp. 1022-1027, Morgan Kaufmann, 1993.
    • (1993) Proc. of the 13 International Joint Conference on Artificial Intelligence , pp. 1022-1027
    • Fayyad, U.M.1    Irani, K.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.