메뉴 건너뛰기




Volumn 147, Issue 1-4, 2002, Pages 201-228

Fuzzy association rules and the extended mining algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL LINGUISTICS; DATA MINING; DECISION THEORY; SEMANTICS;

EID: 0036850692     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(02)00264-5     Document Type: Article
Times cited : (124)

References (22)
  • 3
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • Santiago, Chile, September 1994, Expanded version available as IBM Research Report RJ9839, June
    • R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proceedings of VLDB Conference, Santiago, Chile, September 1994, Expanded version available as IBM Research Report RJ9839, June 1994.
    • (1994) Proceedings of VLDB Conference
    • Agrawal, R.1    Srikant, R.2
  • 6
    • 0030156999 scopus 로고    scopus 로고
    • Data mining using two dimensional optimized association rules: Scheme, algorithm and visualization
    • Montreal, Canada
    • T. Fukuda, Y. Morimoto, S. Morishita, T. Tokuyama, Data mining using two dimensional optimized association rules: scheme, algorithm and visualization, in: SIGMOD'96 6/96, Montreal, Canada, 1996.
    • (1996) SIGMOD'96 , vol.6
    • Fukuda, T.1    Morimoto, Y.2    Morishita, S.3    Tokuyama, T.4
  • 7
    • 0003734239 scopus 로고    scopus 로고
    • A fuzzy approach for mining quantitative association rules
    • Turku Centre for Computer Science, March
    • A. Gyenesei, A fuzzy approach for mining quantitative association rules, Turku Centre for Computer Science, TUCS Technical Reports, No. 336, March 2000.
    • (2000) TUCS Technical Reports , vol.336
    • Gyenesei, A.1
  • 10
    • 0029512356 scopus 로고
    • Set-oriented data mining in relational databases
    • Houtsma M., Swami A. Set-oriented data mining in relational databases. Data and Knowledge Engineering. 17:1995;245-262.
    • (1995) Data and Knowledge Engineering , vol.17 , pp. 245-262
    • Houtsma, M.1    Swami, A.2
  • 11
    • 0034851408 scopus 로고    scopus 로고
    • Fuzzy association rules for handling continuous attributes
    • Pusan, Korea
    • H. Ishibuchi, T. Nakashima, T. Yamamoto, Fuzzy Association Rules for Handling Continuous Attributes, ISIE, 2001, Pusan, Korea, pp. 118-121.
    • (2001) ISIE , pp. 118-121
    • Ishibuchi, H.1    Nakashima, T.2    Yamamoto, T.3
  • 12
    • 0003251650 scopus 로고
    • Introduction to basic principles of fuzzy set theory and some of its applications
    • second ed. Gent, Belgium
    • Kerre E.E. Introduction to Basic Principles of Fuzzy Set Theory and Some of Its Applications. second ed. 1993;Communication & Cognition, Gent, Belgium.
    • (1993) Communication & Cognition
    • Kerre, E.E.1
  • 14
    • 0011448420 scopus 로고    scopus 로고
    • Association rule mining based on a simple rule set
    • August, Beijing, China
    • D. Liu, G. Chen, Association Rule Mining Based on a Simple Rule Set, in: IFIP-WCC2000, August, Beijing, China, 2000.
    • (2000) IFIP-WCC2000
    • Liu, D.1    Chen, G.2
  • 17
    • 0002082857 scopus 로고
    • An efficient algorithm for mining association rules in large databases
    • Zurich, Switzerland, September
    • E.O. Savasere, S. Navathe, An efficient algorithm for mining association rules in large databases, in: Proceedings of the VLDB Conference, Zurich, Switzerland, September 1995.
    • (1995) Proceedings of the VLDB Conference
    • Savasere, E.O.1    Navathe, S.2
  • 19
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • Montreal, Canada
    • R. Srikant, R. Agrawal, Mining quantitative association rules in large relational tables, in: SIGMOD'96 6/96, Montreal, Canada, 1996.
    • (1996) SIGMOD'96 , vol.6
    • Srikant, R.1    Agrawal, R.2
  • 20
    • 0032591531 scopus 로고    scopus 로고
    • Mining generalized association rules with fuzzy taxonomic structures
    • New York
    • Q. Wei, G. Chen, Mining generalized association rules with fuzzy taxonomic structures, in: NAFIPS 99, New York, 1999.
    • (1999) NAFIPS 99
    • Wei, Q.1    Chen, G.2
  • 21
    • 0003327523 scopus 로고    scopus 로고
    • Association rules with opposite items in large categorical databases
    • Warsaw, Poland
    • Q. Wei, G. Chen, Association rules with opposite items in large categorical databases, in: FQAS2000, Warsaw, Poland, 2000.
    • (2000) FQAS2000
    • Wei, Q.1    Chen, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.