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Volumn 3213, Issue , 2004, Pages 270-276

Mining positive and negative fuzzy association rules

Author keywords

Fuzzy association rules; Positive and negative associations; Quantitative attributes

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; FUZZY RULES; KNOWLEDGE BASED SYSTEMS;

EID: 33646831023     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30132-5_40     Document Type: Article
Times cited : (24)

References (10)
  • 3
    • 9644306576 scopus 로고    scopus 로고
    • Computationally Efficient Mining for Fuzzy Implication-Based Association Rules in Quantitative Databases
    • to appear
    • Chen, G.Q., Yan, P., Kerre, E.E.: Computationally Efficient Mining for Fuzzy Implication-Based Association Rules in Quantitative Databases. In: International Journal of General Systems (to appear)
    • International Journal of General Systems
    • Chen, G.Q.1    Yan, P.2    Kerre, E.E.3
  • 6
    • 7044250743 scopus 로고    scopus 로고
    • A note on Quality Measures for Fuzzy Association Rules
    • Dubois, D, Hüllermeier, E., Prade, H.: A note on Quality Measures for Fuzzy Association Rules. In: LNAI, Vol. 2715 (2003) 346-353
    • (2003) LNAI , vol.2715 , pp. 346-353
    • Dubois, D.1    Hüllermeier, E.2    Prade, H.3
  • 7
    • 0003734239 scopus 로고    scopus 로고
    • A Fuzzy Approach for Mining Quantitative Association Rules
    • University of Turku, Finland
    • Gyenesei, A.: A Fuzzy Approach for Mining Quantitative Association Rules. TUCS technical report 336, University of Turku, Finland (2000)
    • (2000) TUCS Technical Report , vol.336
    • Gyenesei, A.1
  • 8
    • 0001882616 scopus 로고
    • Fast Algorithms for Mining Association Rules
    • Srikant, R., Agrawal, R.: Fast Algorithms for Mining Association Rules. In: Proc. VLDB Conference (1994) 487-499
    • (1994) Proc. VLDB Conference , pp. 487-499
    • Srikant, R.1    Agrawal, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.