메뉴 건너뛰기




Volumn 15, Issue 12, 2011, Pages 2319-2333

Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering

Author keywords

Clustering; Data mining; Fuzzy k means; Fuzzy set; Genetic algorithm; Genetic fuzzy mining; Multiple minimum supports

Indexed keywords

BINARY VALUES; CLUSTER-BASED; CLUSTERING; EVALUATION PROCESS; FITNESS VALUES; FUZZY ASSOCIATION RULE; FUZZY K-MEANS; GENETIC-FUZZY; MAIN MEMORY; MINIMUM SUPPORT THRESHOLDS; MULTIPLE MINIMUM SUPPORTS; QUALITY OF SOLUTION; REAL APPLICATIONS;

EID: 81155132195     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-010-0664-1     Document Type: Article
Times cited : (6)

References (39)
  • 2
    • 59649112625 scopus 로고    scopus 로고
    • Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms
    • Alcala-Fdez J, Alcala R, Gacto M, Herrera F (2009) Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst 160(7): 905-921.
    • (2009) Fuzzy Sets Syst , vol.160 , Issue.7 , pp. 905-921
    • Alcala-Fdez, J.1    Alcala, R.2    Gacto, M.3    Herrera, F.4
  • 4
    • 58049213906 scopus 로고    scopus 로고
    • Genetic fuzzy systems: recent developments and future directions
    • Casillas J, Carse B (2009) Genetic fuzzy systems: recent developments and future directions. Soft Comput 13(3): 417-418.
    • (2009) Soft Comput , vol.13 , Issue.3 , pp. 417-418
    • Casillas, J.1    Carse, B.2
  • 5
    • 14644430392 scopus 로고    scopus 로고
    • Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
    • Casillas J, Cordon O, del Jesus MJ, Herrera F (2005) Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Trans Fuzzy Syst 13(1): 13-29.
    • (2005) IEEE Trans Fuzzy Syst , vol.13 , Issue.1 , pp. 13-29
    • Casillas, J.1    Cordon, O.2    del Jesus, M.J.3    Herrera, F.4
  • 7
    • 0345120052 scopus 로고    scopus 로고
    • An integrated approach to information retrieval with fuzzy clustering and fuzzy inferencing
    • In: Pons O, Vila MA, Kacprzyk J (eds) Physica-Verlag, Heidelberg
    • Chen J, Mikulcic A, Kraft DH (2000) An integrated approach to information retrieval with fuzzy clustering and fuzzy inferencing. In: Pons O, Vila MA, Kacprzyk J (eds) Knowledge management in fuzzy databases. Physica-Verlag, Heidelberg.
    • (2000) Knowledge management in fuzzy databases
    • Chen, J.1    Mikulcic, A.2    Kraft, D.H.3
  • 8
    • 40549086646 scopus 로고    scopus 로고
    • Cluster-based evaluation in fuzzy-genetic data mining
    • Chen CH, Tseng VS, Hong TP (2008) Cluster-based evaluation in fuzzy-genetic data mining. IEEE Trans Fuzzy Syst 16(1): 249-262.
    • (2008) IEEE Trans Fuzzy Syst , vol.16 , Issue.1 , pp. 249-262
    • Chen, C.H.1    Tseng, V.S.2    Hong, T.P.3
  • 9
    • 58049202911 scopus 로고    scopus 로고
    • A genetic-fuzzy mining approach for items with multiple minimum supports
    • Chen CH, Hong TP, Tseng VS, Lee CS (2009) A genetic-fuzzy mining approach for items with multiple minimum supports. Soft Comput 13(5): 521-533.
    • (2009) Soft Comput , vol.13 , Issue.5 , pp. 521-533
    • Chen, C.H.1    Hong, T.P.2    Tseng, V.S.3    Lee, C.S.4
  • 10
    • 0035415952 scopus 로고    scopus 로고
    • Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
    • Cordón O, Herrera F, Villar P (2001) Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE Trans Fuzzy Syst 9(4): 667-674.
    • (2001) IEEE Trans Fuzzy Syst , vol.9 , Issue.4 , pp. 667-674
    • Cordón, O.1    Herrera, F.2    Villar, P.3
  • 11
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn JC (1973) "A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters". J Cybern 3: 32-57.
    • (1973) J Cybern , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 14
    • 58049200709 scopus 로고    scopus 로고
    • Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems
    • Gacto MJ, Alcalá R, Herrera F (2009) Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Comput 13(3): 419-436.
    • (2009) Soft Comput , vol.13 , Issue.3 , pp. 419-436
    • Gacto, M.J.1    Alcalá, R.2    Herrera, F.3
  • 16
    • 0031276208 scopus 로고    scopus 로고
    • Fuzzy connectives based crossover operators to model genetic algorithms population diversity
    • Herrera F, Lozano M, Verdegay JL (1997) Fuzzy connectives based crossover operators to model genetic algorithms population diversity. Fuzzy Sets Syst 92(1): 21-30.
    • (1997) Fuzzy Sets Syst , vol.92 , Issue.1 , pp. 21-30
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 19
    • 0001639606 scopus 로고    scopus 로고
    • Trade-off between time complexity and number of rules for fuzzy mining from quantitative data
    • Hong TP, Kuo CS, Chi SC (2001) Trade-off between time complexity and number of rules for fuzzy mining from quantitative data. Int J Uncertain Fuzziness Knowl Based Syst 9(5): 587-604.
    • (2001) Int J Uncertain Fuzziness Knowl Based Syst , vol.9 , Issue.5 , pp. 587-604
    • Hong, T.P.1    Kuo, C.S.2    Chi, S.C.3
  • 20
    • 33745136405 scopus 로고    scopus 로고
    • A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions
    • Hong TP, Chen CH, Wu YL, Lee YC (2006) A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions. Soft Comput 10(11): 1091-1101.
    • (2006) Soft Comput , vol.10 , Issue.11 , pp. 1091-1101
    • Hong, T.P.1    Chen, C.H.2    Wu, Y.L.3    Lee, Y.C.4
  • 21
    • 42249089539 scopus 로고    scopus 로고
    • Genetic-fuzzy data mining with divide-and-conquer strategy
    • Hong TP, Chen CH, Lee YC, Wu YL (2008) Genetic-fuzzy data mining with divide-and-conquer strategy. IEEE Trans Evol Comput 12(2): 252-265.
    • (2008) IEEE Trans Evol Comput , vol.12 , Issue.2 , pp. 252-265
    • Hong, T.P.1    Chen, C.H.2    Lee, Y.C.3    Wu, Y.L.4
  • 22
    • 26844469668 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification systems
    • Ishibuchi H, Yamamoto T (2005) Rule weight specification in fuzzy rule-based classification systems. IEEE Trans Fuzzy Syst 13(4): 428-435.
    • (2005) IEEE Trans Fuzzy Syst , vol.13 , Issue.4 , pp. 428-435
    • Ishibuchi, H.1    Yamamoto, T.2
  • 23
    • 17644408058 scopus 로고    scopus 로고
    • Genetic algorithm based framework for mining fuzzy association rules
    • Kaya M, Alhajj R (2005) Genetic algorithm based framework for mining fuzzy association rules. Fuzzy Sets Syst 152(3): 587-601.
    • (2005) Fuzzy Sets Syst , vol.152 , Issue.3 , pp. 587-601
    • Kaya, M.1    Alhajj, R.2
  • 24
    • 0348132918 scopus 로고    scopus 로고
    • Mining fuzzy association rules in databases
    • Kuok C, Fu A, Wong M (1998) Mining fuzzy association rules in databases. SIGMOD Rec 27(1): 41-46.
    • (1998) SIGMOD Rec , vol.27 , Issue.1 , pp. 41-46
    • Kuok, C.1    Fu, A.2    Wong, M.3
  • 25
    • 35048814557 scopus 로고    scopus 로고
    • Mining fuzzy association rules with multiple minimum supports using maximum constraints
    • Lee YC, Hong TP, Lin WY (2004) Mining fuzzy association rules with multiple minimum supports using maximum constraints. Lect Notes Comput Sci 3214: 1283-1290.
    • (2004) Lect Notes Comput Sci , vol.3214 , pp. 1283-1290
    • Lee, Y.C.1    Hong, T.P.2    Lin, W.Y.3
  • 26
    • 0036951516 scopus 로고    scopus 로고
    • A fuzzy based supply chain management decision support system
    • Liang H, Wu Z, Wu Q (2002) A fuzzy based supply chain management decision support system. World Congr Intell Control Autom 4: 2617-2621.
    • (2002) World Congr Intell Control Autom , vol.4 , pp. 2617-2621
    • Liang, H.1    Wu, Z.2    Wu, Q.3
  • 27
    • 71249094293 scopus 로고    scopus 로고
    • Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets
    • Mangalampalli A, Pudi V (2009) Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets. In: The IEEE international conference on fuzzy systems, pp 1163-1168.
    • (2009) The IEEE international conference on fuzzy systems , pp. 1163-1168
    • Mangalampalli, A.1    Pudi, V.2
  • 30
    • 76349119898 scopus 로고    scopus 로고
    • Mining direct and indirect weighted fuzzy association rules in large transaction databases
    • Ouyang W, Huang Q (2009) Mining direct and indirect weighted fuzzy association rules in large transaction databases. Int Conf Fuzzy Syst Knowl Discov 3: 128-132.
    • (2009) Int Conf Fuzzy Syst Knowl Discov , vol.3 , pp. 128-132
    • Ouyang, W.1    Huang, Q.2
  • 32
    • 11144280605 scopus 로고    scopus 로고
    • Modifying weighted fuzzy subsethood-based rule models with fuzzy quantifiers
    • Rasmani KA, Shen Q (2004) Modifying weighted fuzzy subsethood-based rule models with fuzzy quantifiers. IEEE Int Conf Fuzzy Syst 3: 1679-1684.
    • (2004) IEEE Int Conf Fuzzy Syst , vol.3 , pp. 1679-1684
    • Rasmani, K.A.1    Shen, Q.2
  • 33
    • 0035415950 scopus 로고    scopus 로고
    • Compact and transparent fuzzy models and classifiers through iterative complexity reduction
    • Roubos H, Setnes M (2001) Compact and transparent fuzzy models and classifiers through iterative complexity reduction. IEEE Trans Fuzzy Syst 9(4): 516-524.
    • (2001) IEEE Trans Fuzzy Syst , vol.9 , Issue.4 , pp. 516-524
    • Roubos, H.1    Setnes, M.2
  • 34
    • 0034294243 scopus 로고    scopus 로고
    • GA-fuzzy modeling and classification: complexity and performance
    • Setnes M, Roubos H (2000) GA-fuzzy modeling and classification: complexity and performance. IEEE Trans Fuzzy Syst 8(5): 509-522.
    • (2000) IEEE Trans Fuzzy Syst , vol.8 , Issue.5 , pp. 509-522
    • Setnes, M.1    Roubos, H.2
  • 36
    • 0032207749 scopus 로고    scopus 로고
    • Integrating fuzzy knowledge by genetic algorithms
    • Wang CH, Hong TP, Tseng SS (1998) Integrating fuzzy knowledge by genetic algorithms. IEEE Trans Evol Comput 2(4): 138-149.
    • (1998) IEEE Trans Evol Comput , vol.2 , Issue.4 , pp. 138-149
    • Wang, C.H.1    Hong, T.P.2    Tseng, S.S.3
  • 37
    • 0000582194 scopus 로고    scopus 로고
    • Integrating membership functions and fuzzy rule sets from multiple knowledge sources
    • Wang CH, Hong TP, Tseng SS (2000) Integrating membership functions and fuzzy rule sets from multiple knowledge sources. Fuzzy Sets Syst 112: 141-154.
    • (2000) Fuzzy Sets Syst , vol.112 , pp. 141-154
    • Wang, C.H.1    Hong, T.P.2    Tseng, S.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.