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Volumn 1, Issue , 2009, Pages 378-381

A novel multivariate discretization method for mining association rules

Author keywords

Association rule; Clustering; Data mining; Discretization; Genetic algorithm

Indexed keywords

A-DENSITY; ASSOCIATION PATTERNS; CLUSTERING DATA; DATA SETS; DATA SPACE; DISCRETIZATION; DISCRETIZATION METHOD; DISCRETIZATIONS; ENTROPY CRITERIA; LARGE DATASETS; MINING ASSOCIATION RULES; MULTI-ATTRIBUTES;

EID: 70649100281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APCIP.2009.102     Document Type: Conference Paper
Times cited : (4)

References (12)
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  • 4
    • 84974668028 scopus 로고    scopus 로고
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    • M. C. Ludl, G. Widmer. Relative unsupervised discretization for association rule mining. In: In Proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, Springer, 2000.
  • 5
    • 0011988594 scopus 로고    scopus 로고
    • Multivariate discretization for set mining
    • Stephen D. Bay. Multivariate discretization for set mining. Knowledge and Information Systems, 2001, 3(4): 491-512.
    • (2001) Knowledge and Information Systems , vol.3 , Issue.4 , pp. 491-512
    • Bay, S.D.1
  • 6
    • 23044527560 scopus 로고    scopus 로고
    • Detecting group differences: Mining contrast sets
    • Stephen D. Bay and Michael J. Pazzani. Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery, 2001, 5(3): 213-246.
    • (2001) Data Mining and Knowledge Discovery , vol.5 , Issue.3 , pp. 213-246
    • Bay, S.D.1    Pazzani, M.J.2
  • 7
    • 26944490657 scopus 로고    scopus 로고
    • Multivariate discretization by recursive supervised bipartion of graph
    • Sylvain Ferrandiz, Marc Boullé. Multivariate discretization by recursive supervised bipartion of graph. Lecture Notes in Computer Science, 2005, Vol. 3587: 253-264.
    • (2005) Lecture Notes in Computer Science , vol.3587 , pp. 253-264
    • Ferrandiz, S.1    Boullé, M.2
  • 8
    • 34248592216 scopus 로고    scopus 로고
    • An assocaition rule mining method for estimating the impact of project management policies on software quality, development time and effort
    • Maria N. Moreno Garcia, Isabel Ramos Román, Francisco J. García Peńalvo. An assocaition rule mining method for estimating the impact of project management policies on software quality, development time and effort. Expert Systems with Applications, 2008, 34(1): 522-529.
    • (2008) Expert Systems with Applications , vol.34 , Issue.1 , pp. 522-529
    • Moreno Garcia, M.N.1    Ramos Román, I.2    García Peńalvo, F.J.3
  • 12
    • 70649092645 scopus 로고    scopus 로고
    • Steven Ruggles, Matthew Sobek, Trent Alexander, and et. al. Integrated public use microdata series: Version 2.0 minneapolis: Historical census projects, 1997
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.