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Volumn 5, Issue 11, 2010, Pages 1243-1249

Improved genetic algorithm based on simulated annealing and quantum computing strategy for mining association rules

Author keywords

Association rule; Data mining; Quantum inspired genetic algorithm; Simulated annealing; Transaction data

Indexed keywords

ASSOCIATION RULES MINING; CONTINUOUS VALUE; DATA MINING ALGORITHM; IMPROVED GENETIC ALGORITHMS; MINING ASSOCIATION RULES; OTHER ALGORITHMS; QUANTUM COMPUTING; QUANTUM INSPIRED GENETIC ALGORITHM; TRANSACTION DATA;

EID: 78651521957     PISSN: 1796217X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jsw.5.11.1243-1249     Document Type: Article
Times cited : (13)

References (18)
  • 1
    • 0000003319 scopus 로고    scopus 로고
    • Mining time series data by a fuzzy linguistic summary system[J]
    • D. A. Chiang, L. R. Chow, and Y. F. Wang. Mining time series data by a fuzzy linguistic summary system[J].Fuzzy Sets System, 2000, pp: 419-432.
    • (2000) Fuzzy Sets System , pp. 419-432
    • Chiang, D.A.1    Chow, L.R.2    Wang, Y.F.3
  • 3
    • 0001550176 scopus 로고    scopus 로고
    • Fuzzy sets technology in knowledge discovery
    • W. Pedrycz, Fuzzy sets technology in knowledge discovery, Fuzzy Sets and Systems, 1998, pp:279-290.
    • (1998) Fuzzy Sets and Systems , pp. 279-290
    • Pedrycz, W.1
  • 4
    • 0036349433 scopus 로고    scopus 로고
    • Interactive query expansion based on fuzzy association thesaurus for web information retrieval
    • H.-M. Lee, S.-K. Lin, C.-W. Huang, Interactive query expansion based on fuzzy association thesaurus for web information retrieval, in: Proc. the 10th IEEE International Conf. on Fuzzy Systems, 2001, pp. 2:724-2:727.
    • (2001) Proc. the 10th IEEE International Conf. on Fuzzy Systems , vol.2 , pp. 2724-2727
    • Lee, H.-M.1    Lin, S.-K.2    Huang, C.-W.3
  • 5
    • 1642527506 scopus 로고
    • GA-miner: Parallel Data Mining with Hierarchical genetic algorithm
    • University of Edimburgh
    • I.W. Flockart, N.J.Radcliffe. GA-miner: parallel Data Mining with Hierarchical genetic algorithm, EPCC-AIKMS-GAMiner-Report 1.0, University of Edimburgh, 1995.
    • (1995) EPCC-AIKMS-GAMiner-Report 1.0
    • Flockart, I.W.1    Radcliffe, N.J.2
  • 8
    • 0032591605 scopus 로고    scopus 로고
    • Using symbolic data in neuro-fuzzy classification
    • in, New York, June
    • D. Nauck, "Using symbolic data in neuro-fuzzy classification," in Proc. NAFIPS 99, New York, June 1999, pp. 536-540.
    • (1999) Proc. NAFIPS 99 , pp. 536-540
    • Nauck, D.1
  • 12
    • 0003707613 scopus 로고    scopus 로고
    • Mining weighted association rules for fuzzy quantitative items
    • May
    • A. Gyenesei, Mining weighted association rules for fuzzy quantitative items, TUCS Technical Report No: 346, May 2000.
    • (2000) TUCS Technical Report No: 346
    • Gyenesei, A.1
  • 15
    • 0002035566 scopus 로고
    • Reducing bias and inefficiency in the selection algorithm
    • Lawrence Erlbuam Associates, Publishers
    • Baker, J. E. Reducing bias and inefficiency in the selection algorithm, Proceeding ICGA 2, Lawrence Erlbuam Associates, Publishers, 1987. pp:14-21
    • (1987) Proceeding ICGA 2 , pp. 14-21
    • Baker, J.E.1
  • 16
    • 0034851408 scopus 로고    scopus 로고
    • Fuzzy association rules for handling continuous attributes
    • in
    • H. Ishibuchi, T. Nakashima, T.Yamamoto, Fuzzy association rules for handling continuous attributes, in: Proc. IEEE ISIE, 2001, pp. 118-121.
    • (2001) Proc. IEEE ISIE , pp. 118-121
    • Ishibuchi, H.1    Nakashima, T.2    Yamamoto, T.3
  • 18
    • 85009979512 scopus 로고    scopus 로고
    • Phenomenal data mining, association for computing machinery
    • J. McCarthy, Phenomenal data mining, association for computing machinery, Communications of the ACM, 2000, 43 (8): 75-80.
    • (2000) Communications of the ACM , vol.43 , Issue.8 , pp. 75-80
    • McCarthy, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.