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Volumn 2715, Issue , 2003, Pages 111-118

A discussion of indices for the evaluation of fuzzy associations in relational databases

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; PROBLEM SOLVING; RELATIONAL DATABASE SYSTEMS; FUZZY SYSTEMS;

EID: 7044270631     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-44967-1_12     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 5
    • 0030577310 scopus 로고    scopus 로고
    • What are fuzzy rules and how to use them
    • D. Dubois and H. Prade. What are fuzzy rules and how to use them. Fuzzy Sets and Systems, 84(2):169-186, 1996.
    • (1996) Fuzzy Sets and Systems , vol.84 , Issue.2 , pp. 169-186
    • Dubois, D.1    Prade, H.2
  • 6
    • 84883745941 scopus 로고    scopus 로고
    • Fuzzy association rules semantic issues and quality measures
    • B. Reusch, editor. Springer-Verlag, Berlin
    • E. Hüllermeier. Fuzzy association rules semantic issues and quality measures. In B. Reusch, editor, Computational Intelligence: Theory and Applications, LNCS, pages 380-391. Springer-Verlag, Berlin, 2001.
    • (2001) Computational Intelligence: Theory and Applications, LNCS , pp. 380-391
    • Hüllermeier, E.1
  • 8
    • 84867768057 scopus 로고    scopus 로고
    • Compating machine learning and knowledge discovery in databases: An application to knowledge discovery in texts
    • G. Paliouras, V. Karkaletsis, and C. D. Spyropoulos, editors, LNCS, Springer
    • Y. Kodratoff. Compating machine learning and knowledge discovery in databases: An application to knowledge discovery in texts. In G. Paliouras, V. Karkaletsis, and C. D. Spyropoulos, editors, Machine Learning and Its Applications, volume 2049, LNCS , pages 1-21. Springer, 2001.
    • (2001) Machine Learning and Its Applications , vol.2049 , pp. 1-21
    • Kodratoff, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.