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Volumn , Issue , 2009, Pages 47-64

Effective mining of weighted fuzzy association rules

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EID: 84899332236     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-754-6.ch004     Document Type: Chapter
Times cited : (2)

References (21)
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    • doi:10.1109/TKDE.2004.8
    • Coenen, F. P., Leng, P., & Ahmed, S. (2004). Data Structures for Association Rule Mining: T-trees and P-trees. IEEE Transactions on Data and Knowledge Engineering, 16(6), 774-778. doi:10.1109/TKDE.2004.8
    • (2004) IEEE Transactions on Data and Knowledge Engineering , vol.16 , Issue.6 , pp. 774-778
    • Coenen, F.P.1    Leng, P.2    Ahmed, S.3
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    • Tree structures for mining association rules
    • doi:10.1023/B:DAMI.0000005257.93780.3b
    • Coenen, F. P., Leng, P.,& Goulbourne, G. (2004). Tree Structures for Mining Association Rules. Journal of Data Mining and Knowledge Discovery, 8(1), 25-51. doi:10.1023/B:DAMI.0000005257.93780.3b
    • (2004) Journal of Data Mining and Knowledge Discovery , vol.8 , Issue.1 , pp. 25-51
    • Coenen, F.P.1    Leng, P.2    Goulbourne, G.3
  • 8
    • 84899219312 scopus 로고    scopus 로고
    • DataSet 1
    • DataSet 1. http://hpc.isti.cnr.it/~palmeri/datam/sampling/simul/data/output/
  • 9
    • 84899335688 scopus 로고    scopus 로고
    • Dataset 2
    • Dataset 2. http://fimi.cs.helsinki.fi/data/
  • 10
    • 84974716005 scopus 로고    scopus 로고
    • Mining weighted association rules for fuzzy quantitative items
    • Gyenesei, A. (2000). Mining Weighted Association Rules for Fuzzy Quantitative Items. In Proceedings of PKDD Conference (pp. 416-423).
    • (2000) In Proceedings of PKDD Conference , pp. 416-423
    • Gyenesei, A.1
  • 12
    • 0348132918 scopus 로고    scopus 로고
    • Mining fuzzy association rules in databases
    • doi:10.1145/273244.273257
    • Kuok, C. M., Fu, A., & Wong, M. H. (1998). Mining Fuzzy Association Rules in Databases. SIGMOD Record, 27(1), 41-46. doi:10.1145/273244.273257
    • (1998) SIGMOD Record , vol.27 , Issue.1 , pp. 41-46
    • Kuok, C.M.1    Fu, A.2    Wong, M.H.3
  • 13
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    • Mining boolean and general fuzzy weighted association rules in databases
    • Lu, J.-J. (2002). Mining Boolean and General Fuzzy Weighted Association Rules in Databases. Systems Engineering-Theory & Practice, 2, 28-32.
    • (2002) Systems Engineering-Theory & Practice , vol.2 , pp. 28-32
    • Lu, J.-J.1
  • 14
  • 16
    • 84863089755 scopus 로고    scopus 로고
    • Fuzzy weighted association rule mining with weighted support and confidence framework
    • Springer-Verlag, Berlin Heidelberg
    • Muyeba, M., Khan, M. S.,& Coenen, F. (2008). Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework. In PAKDD Workshop 2008, LNAI 5433 (pp. 49-61), Springer-Verlag, Berlin Heidelberg.
    • (2008) In PAKDD Workshop 2008, LNAI 5433 , pp. 49-61
    • Muyeba, M.1    Khan, M.S.2    Coenen, F.3
  • 20
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    • Efficient mining of weighted association rules (WAR)
    • Boston
    • Wang, W., Yang, J.,& Yu, P. S. (2000). Efficient Mining of Weighted Association Rules (WAR). In Proceedings of the KDD (pp. 270-274). Boston.
    • (2000) In Proceedings of the KDD , pp. 270-274
    • Wang, W.1    Yang, J.2    Yu, P.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.