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Volumn , Issue , 1998, Pages

Defining diff as a data mining primitive

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[No Author keywords available]

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KNOWLEDGE REPRESENTATION;

EID: 0038246813     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 4
    • 0030285403 scopus 로고    scopus 로고
    • The K D D process for extracting useful knowledge from volumes of data
    • (ll)
    • U. Fayyad, G. Piatesky-Sliapiro, and P. Smyth. The K D D process for extracting useful knowledge from volumes of data. CAGM, 39(ll):27-34, 1996.
    • (1996) CAGM , vol.39 , pp. 27-34
    • Fayyad, U.1    Piatesky-Sliapiro, G.2    Smyth, P.3
  • 5
    • 0005187580 scopus 로고    scopus 로고
    • Metaruleguided mining of multi-dimensional association rulesusing data cubes
    • M. Kamber, J. Han, and J. Chiang. Metaruleguided mining of multi-dimensional association rulesusing data cubes. In 3rd Conf Knowledge Discovery and Data Mining, pp. 207-210, 1997.
    • (1997) 3rd Conf Knowledge Discovery and Data Mining , pp. 207-210
    • Kamber, M.1    Han, J.2    Chiang, J.3
  • 6
    • 0003113325 scopus 로고
    • Finding interesting rules from large sets of discovered association rules
    • M. Kleniettinen, H. Mannila, P. Ronkainen, and P. Toivonen. Finding interesting rules from large sets of discovered association rules. In CIKM, pp. 401-408, 1994.
    • (1994) CIKM , pp. 401-408
    • Kleniettinen, M.1    Mannila, H.2    Ronkainen, P.3    Toivonen, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.