메뉴 건너뛰기




Volumn 31, Issue 3, 2008, Pages 243-264

Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining

Author keywords

Automated clustering; CURE; Data mining; Fuzziness; Fuzzy association rules; Multi objective genetic algorithms

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; ASSOCIATIVE PROCESSING; AUTOMATION; CURING; DATA MINING; DECISION SUPPORT SYSTEMS; FLOW OF SOLIDS; FUZZY CLUSTERING; FUZZY RULES; FUZZY SETS; GALLIUM ALLOYS; GENETIC ALGORITHMS; INFORMATION MANAGEMENT; MINING; MULTIOBJECTIVE OPTIMIZATION;

EID: 55849085431     PISSN: 09259902     EISSN: 15737675     Source Type: Journal    
DOI: 10.1007/s10844-007-0044-1     Document Type: Article
Times cited : (42)

References (30)
  • 1
    • 0343462384 scopus 로고    scopus 로고
    • Determination of fuzzy logic membership functions using genetic algorithms
    • 2
    • A. Arslan M. Kaya 2001 Determination of fuzzy logic membership functions using genetic algorithms Fuzzy Sets and Systems 118 2 297 306
    • (2001) Fuzzy Sets and Systems , vol.118 , pp. 297-306
    • Arslan, A.1    Kaya, M.2
  • 5
    • 0001953837 scopus 로고
    • Genetic algorithms for multi-objective optimization: Formulation, discussion and generalization
    • S. Forrest (Ed.) San Mateo, CA
    • Fonseca, C. M., & Fleming, P. J. (1993). Genetic algorithms for multi-objective optimization: Formulation, discussion and generalization. In S. Forrest (Ed.), Proceedings of the International Conference on Genetic Algorithms (pp. 416-423). San Mateo, CA.
    • (1993) Proceedings of the International Conference on Genetic Algorithms , pp. 416-423
    • Fonseca, C.M.1    Fleming, P.J.2
  • 8
    • 0035279319 scopus 로고    scopus 로고
    • Cure: An efficient clustering algorithm for large databases
    • 1
    • S. Guha R. Rastogi K. Shim 2001 Cure: An efficient clustering algorithm for large databases Information Systems 26 1 35 58
    • (2001) Information Systems , vol.26 , pp. 35-58
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 9
    • 0003734239 scopus 로고    scopus 로고
    • A fuzzy approach for mining quantitative association rules
    • Gyenesei, A. (2000). A fuzzy approach for mining quantitative association rules. TUCS Technical Report No.336.
    • (2000) TUCS Technical Report No.336.
    • Gyenesei, A.1
  • 10
    • 0032136585 scopus 로고    scopus 로고
    • Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
    • 4
    • F. Herrera M. Lozano J. L. Verdegay 1998 Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis Artificial Intelligence Review 12 4 265 319
    • (1998) Artificial Intelligence Review , vol.12 , pp. 265-319
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 18
    • 0348132918 scopus 로고    scopus 로고
    • Mining fuzzy association rules in databases
    • 1
    • C. M. Kuok A. W. Fu M. H. Wong 1998 Mining fuzzy association rules in databases SIGMOD Record 17 1 41 46
    • (1998) SIGMOD Record , vol.17 , pp. 41-46
    • Kuok, C.M.1    Fu, A.W.2    Wong, M.H.3
  • 23
    • 0001550176 scopus 로고    scopus 로고
    • Fuzzy sets technology in knowledge discovery
    • W. Pedrycz 1998 Fuzzy sets technology in knowledge discovery Fuzzy Sets and Systems 98 279 290
    • (1998) Fuzzy Sets and Systems , vol.98 , pp. 279-290
    • Pedrycz, W.1
  • 25
    • 0003808325 scopus 로고    scopus 로고
    • Multi-objective evolutionary algorithm research: A history and analysis
    • Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Ohio.
    • Veldhuizen, D. A. V., & Lamont, G. B. (1998). Multi-objective evolutionary algorithm research: A history and analysis. Technical Report TR-98-03. Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Ohio.
    • (1998) Technical Report TR-98-03
    • Veldhuizen, D.A.V.1    Lamont, G.B.2
  • 30
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • 4
    • E. Zitzler L. Thiele 1999 Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach IEEE Transactions on Evolutionary Computation 3 4 257 271
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.