메뉴 건너뛰기




Volumn 2226, Issue , 2001, Pages 447-451

Clustering rules using empirical similarity of support sets

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS;

EID: 84943262896     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45650-3_39     Document Type: Conference Paper
Times cited : (3)

References (7)
  • 1
    • 0001371923 scopus 로고    scopus 로고
    • Fast Discovery of Association Rules
    • In Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.), AAAI Press, Menlo Park, California
    • Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A.I.: Fast Discovery of Association Rules. In Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in Knowledge Discovery and Data Mining. AAAI Press, Menlo Park, California (1996) 307-328
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 307-328
    • Agrawal, R.1    Mannila, H.2    Srikant, R.3    Toivonen, H.4    Verkamo, A.I.5
  • 2
    • 0004214641 scopus 로고    scopus 로고
    • Morgan Kaufmann, San Francisco, California
    • Han, J., Kamber, M.: Data Mining. Morgan Kaufmann, San Francisco, California (2001)
    • (2001) Data Mining
    • Han, J.1    Kamber, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.