메뉴 건너뛰기




Volumn 36, Issue 6, 2009, Pages 10016-10024

An improved approach to find membership functions and multiple minimum supports in fuzzy data mining

Author keywords

Data mining; Fuzzy set; Genetic algorithm; Genetic fuzzy mining; Membership functions; Multiple minimum supports

Indexed keywords

DIVIDE-AND-CONQUER; FUZZY ASSOCIATION RULES; FUZZY KNOWLEDGE; FUZZY MININGS; FUZZY SET; FUZZY-DATA MININGS; GENETIC-FUZZY MINING; MINIMUM SUPPORTS; MULTIPLE MINIMUM SUPPORTS; POSSIBLE SOLUTIONS;

EID: 64049084623     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.01.067     Document Type: Article
Times cited : (26)

References (30)
  • 2
    • 0345872225 scopus 로고    scopus 로고
    • A novel evolutionary data mining algorithm with applications to churn prediction
    • Au W.H., Chan Keith.C.C., and Yao X. A novel evolutionary data mining algorithm with applications to churn prediction. IEEE Transactions on Evolutionary Computation 7 6 (2003) 532-545
    • (2003) IEEE Transactions on Evolutionary Computation , vol.7 , Issue.6 , pp. 532-545
    • Au, W.H.1    Chan, Keith.C.C.2    Yao, X.3
  • 3
    • 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 M.J., and Herrera F. Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Transactions on Fuzzy Systems 13 1 (2005) 13-29
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.1 , pp. 13-29
    • Casillas, J.1    Cordon, O.2    del Jesus, M.J.3    Herrera, F.4
  • 5
    • 58049202911 scopus 로고    scopus 로고
    • A genetic-fuzzy mining approach for items with multiple minimum supports
    • Chen C.H., Hong T.P., Tseng V.S., and Lee C.S. A genetic-fuzzy mining approach for items with multiple minimum supports. Soft Computing 13 5 (2009) 521-533
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 521-533
    • Chen, C.H.1    Hong, T.P.2    Tseng, V.S.3    Lee, C.S.4
  • 6
    • 0345120052 scopus 로고    scopus 로고
    • An integrated approach to information retrieval with fuzzy clustering and fuzzy inferencing
    • Pons O., Vila M.A., and Kacprzyk J. (Eds), Springer Physica-Verlag, Heidelberg, Germany
    • Chen J., Mikulcic A., and Kraft D.H. An integrated approach to information retrieval with fuzzy clustering and fuzzy inferencing. In: Pons O., Vila M.A., and Kacprzyk J. (Eds). Knowledge management in fuzzy databases (2000), Springer Physica-Verlag, Heidelberg, Germany
    • (2000) Knowledge management in fuzzy databases
    • Chen, J.1    Mikulcic, A.2    Kraft, D.H.3
  • 7
    • 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., and Villar P. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE Transactions on Fuzzy Systems 9 4 (2001) 667-674
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.4 , pp. 667-674
    • Cordón, O.1    Herrera, F.2    Villar, P.3
  • 10
    • 0031276208 scopus 로고    scopus 로고
    • Fuzzy connectives based crossover operators to model genetic algorithms population diversity
    • Herrera F., Lozano M., and Verdegay J.L. Fuzzy connectives based crossover operators to model genetic algorithms population diversity. Fuzzy Sets and Systems 92 1 (1997) 21-30
    • (1997) Fuzzy Sets and Systems , vol.92 , Issue.1 , pp. 21-30
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 11
    • 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 T.P., Chen C.H., Wu Y.L., and Lee Y.C. A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions. Soft Computing 10 11 (2006) 1091-1101
    • (2006) Soft Computing , vol.10 , Issue.11 , pp. 1091-1101
    • Hong, T.P.1    Chen, C.H.2    Wu, Y.L.3    Lee, Y.C.4
  • 12
    • 35648966393 scopus 로고    scopus 로고
    • A data mining algorithm for transaction data with quantitative values
    • In The world congress pp
    • Hong, T. P., Kuo, C. S., & Chi, S. C. (1999). A data mining algorithm for transaction data with quantitative values. In The eighth international fuzzy systems association world congress (pp. 874-878).
    • (1999) eighth international fuzzy systems association , pp. 874-878
    • Hong, T.P.1    Kuo, C.S.2    Chi, S.C.3
  • 13
    • 34548212751 scopus 로고    scopus 로고
    • Mining coverage-based fuzzy rules by evolutional computation
    • In The
    • Hong, T. P., & Lee, Y. C. (2001). Mining coverage-based fuzzy rules by evolutional computation. In The IEEE international conference on data mining (pp. 218-224).
    • (2001) IEEE international conference on data mining , pp. 218-224
    • Hong, T.P.1    Lee, Y.C.2
  • 15
    • 26844469668 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification systems
    • Ishibuchi H., and Yamamoto T. Rule weight specification in fuzzy rule-based classification systems. IEEE Transactions on Fuzzy Systems 13 4 (2005) 428-435
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.4 , pp. 428-435
    • Ishibuchi, H.1    Yamamoto, T.2
  • 16
    • 0037860947 scopus 로고    scopus 로고
    • A clustering algorithm with genetically optimized membership functions for fuzzy association rules mining
    • In The
    • Kaya, M., & Alhajj, R. (2003). A clustering algorithm with genetically optimized membership functions for fuzzy association rules mining. In The IEEE international conference on fuzzy systems (pp. 881-886).
    • (2003) IEEE international conference on fuzzy systems , pp. 881-886
    • Kaya, M.1    Alhajj, R.2
  • 17
    • 27144529103 scopus 로고    scopus 로고
    • Khare, V. R., Yao, X., Sendhoff, B., Jin, Y., & Wersing, H. (2005). Co-evolutionary modular neural networks for automatic problem decomposition. In The 2005 IEEE congress on evolutionary computation (3, pp. 2691-2698).
    • Khare, V. R., Yao, X., Sendhoff, B., Jin, Y., & Wersing, H. (2005). Co-evolutionary modular neural networks for automatic problem decomposition. In The 2005 IEEE congress on evolutionary computation (Vol. 3, pp. 2691-2698).
  • 18
    • 0348132918 scopus 로고    scopus 로고
    • Mining fuzzy association rules in databases
    • Kuok C., Fu A., and Wong M. Mining fuzzy association rules in databases. SIGMOD Record 27 1 (1998) 41-46
    • (1998) SIGMOD Record , vol.27 , Issue.1 , pp. 41-46
    • Kuok, C.1    Fu, A.2    Wong, M.3
  • 19
    • 35048814557 scopus 로고    scopus 로고
    • Mining fuzzy association rules with multiple minimum supports using maximum constraints
    • Springer-Verlag
    • Lee, Y. C., Hong, T. P., & Lin, W. Y. (2004). Mining fuzzy association rules with multiple minimum supports using maximum constraints. Lecture notes in computer science (Vol. 3214, pp. 1283-1290). Springer-Verlag.
    • (2004) Lecture notes in computer science , vol.3214 , pp. 1283-1290
    • Lee, Y.C.1    Hong, T.P.2    Lin, W.Y.3
  • 21
    • 0002895332 scopus 로고
    • A new approach of fuzzy classifier systems
    • In The , Los Altos, CA: Morgan Kaufmann
    • Parodi, A., & Bonelli, P. (1993). A new approach of fuzzy classifier systems. In The fifth international conference on genetic algorithms (pp. 223-230). Los Altos, CA: Morgan Kaufmann.
    • (1993) fifth international conference on genetic algorithms , pp. 223-230
    • Parodi, A.1    Bonelli, P.2
  • 22
    • 11144280605 scopus 로고    scopus 로고
    • Modifying weighted fuzzy subsethood-based rule models with fuzzy quantifiers
    • In The
    • Rasmani, K. A., & Shen, Q. (2004). Modifying weighted fuzzy subsethood-based rule models with fuzzy quantifiers. In The IEEE international conference on fuzzy systems (Vol. 3, pp. 1679-1684).
    • (2004) IEEE international conference on fuzzy systems , vol.3 , pp. 1679-1684
    • Rasmani, K.A.1    Shen, Q.2
  • 23
    • 0035415950 scopus 로고    scopus 로고
    • Compact and transparent fuzzy models and classifiers through iterative complexity reduction
    • Roubos H., and Setnes M. Compact and transparent fuzzy models and classifiers through iterative complexity reduction. IEEE Transactions on Fuzzy Systems 9 4 (2001) 516-524
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.4 , pp. 516-524
    • Roubos, H.1    Setnes, M.2
  • 24
    • 0034294243 scopus 로고    scopus 로고
    • GA-fuzzy modeling and classification: Complexity and performance
    • Setnes M., and Roubos H. GA-fuzzy modeling and classification: Complexity and performance. IEEE Transactions on Fuzzy Systems 8 5 (2000) 509-522
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.5 , pp. 509-522
    • Setnes, M.1    Roubos, H.2
  • 27
    • 0000582194 scopus 로고    scopus 로고
    • Integrating membership functions and fuzzy rule sets from multiple knowledge sources
    • Wang C.H., Hong T.P., and Tseng S.S. Integrating membership functions and fuzzy rule sets from multiple knowledge sources. Fuzzy Sets and Systems 112 (2000) 141-154
    • (2000) Fuzzy Sets and Systems , vol.112 , pp. 141-154
    • Wang, C.H.1    Hong, T.P.2    Tseng, S.S.3
  • 28
    • 64049114725 scopus 로고    scopus 로고
    • Yao, X. (2003). Adaptive divide-and-conquer using populations and ensembles. In The 2003 international conference on machine learning and application (pp. 13-20).
    • Yao, X. (2003). Adaptive divide-and-conquer using populations and ensembles. In The 2003 international conference on machine learning and application (pp. 13-20).
  • 29
    • 0034512620 scopus 로고    scopus 로고
    • Mining fuzzy association rules with weighted items
    • In The, man and cybernetics pp
    • Yue, S., Tsang, E., Yeung, D., & Shi, D. (2000). Mining fuzzy association rules with weighted items. In The IEEE international conference on systems, man and cybernetics (pp. 1906-1911).
    • (2000) IEEE international conference on systems , pp. 1906-1911
    • Yue, S.1    Tsang, E.2    Yeung, D.3    Shi, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.