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Volumn 15, Issue 2, 2001, Pages 305-320

A fuzzy approach for mining quantitative association rules

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0035198467     PISSN: 0324721X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (47)

References (13)
  • 5
    • 84884722126 scopus 로고    scopus 로고
    • Data mining approach for solving decision support problems of warehouse networks
    • Gyenesei A. Data mining approach for solving decision support problems of warehouse networks. POLVAX (in Hungarian), (1999) 69-93.
    • (1999) POLVAX (in Hungarian) , pp. 69-93
    • Gyenesei, A.1
  • 8
    • 0000172008 scopus 로고    scopus 로고
    • Mining association rules from quantitative data
    • Hong, T-P., Kuo, C-S, Chi, S-C.: Mining association rules from quantitative data. Intelligent Data Analysis 3 (5) (1999) 363-376
    • (1999) Intelligent Data Analysis , vol.3 , Issue.5 , pp. 363-376
    • Hong, T.-P.1    Kuo, C.-S.2    Chi, S.-C.3
  • 9
    • 0348132918 scopus 로고    scopus 로고
    • Fuzzy association rules in databases
    • Kuok, C.M., Fu, A., Wong, M.H.: Fuzzy association rules in databases. In ACM SIGMOD Record 27(1),(1998) 41-46
    • (1998) ACM SIGMOD Record , vol.27 , Issue.1 , pp. 41-46
    • Kuok, C.M.1    Fu, A.2    Wong, M.H.3
  • 12
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relation tables
    • Srikant, R., Agrawal, R.: Mining quantitative association rules in large relation tables. Proc. of ACM SIGMOD (1996) 1-12
    • Proc. of ACM SIGMOD (1996) , pp. 1-12
    • Srikant, R.1    Agrawal, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.