메뉴 건너뛰기




Volumn 36, Issue 2 PART 1, 2009, Pages 1999-2007

Using a hybrid meta-evolutionary rule mining approach as a classification response model

Author keywords

Classification; Data mining; Decision rules; Meta evolutionary

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION MAKING; EXPERT SYSTEMS; LEARNING SYSTEMS; NUMERICAL METHODS;

EID: 56349168997     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.12.050     Document Type: Article
Times cited : (12)

References (27)
  • 1
    • 33744513329 scopus 로고    scopus 로고
    • IAs based rule mining approach for satellite-derived land-cover classification
    • Chen T.-C., and Chen C.-Y. IAs based rule mining approach for satellite-derived land-cover classification. WSEAS Transactions on Computers 5 6 (2006) 1345-1353
    • (2006) WSEAS Transactions on Computers , vol.5 , Issue.6 , pp. 1345-1353
    • Chen, T.-C.1    Chen, C.-Y.2
  • 2
    • 33144490480 scopus 로고    scopus 로고
    • A gas based approach for mining breast cancer pattern
    • Chen T.C., and Hsu T.C. A gas based approach for mining breast cancer pattern. Expert Systems with Applications 30 4 (2006) 674-681
    • (2006) Expert Systems with Applications , vol.30 , Issue.4 , pp. 674-681
    • Chen, T.C.1    Hsu, T.C.2
  • 3
    • 9144258054 scopus 로고    scopus 로고
    • A new method to generate fuzzy rules from training instances for handling classification problems
    • Chen S.-M., and Yu C.-H. A new method to generate fuzzy rules from training instances for handling classification problems. Cybernetics and Systems 34 3 (2003) 217-232
    • (2003) Cybernetics and Systems , vol.34 , Issue.3 , pp. 217-232
    • Chen, S.-M.1    Yu, C.-H.2
  • 5
    • 0030285403 scopus 로고    scopus 로고
    • The KDD process for extracting useful knowledge from volumes of data
    • Fayyad U., Piatetsky-Shapiro G., and Smyth P. The KDD process for extracting useful knowledge from volumes of data. Communications of the ACM 39 11 (1996) 27-34
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 27-34
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 7
    • 0001983468 scopus 로고    scopus 로고
    • Direct marketing modeling with CART and CHAID
    • Haughton D., and Oulabi S. Direct marketing modeling with CART and CHAID. Journal of Direct Marketing 11 4 (1997) 42-52
    • (1997) Journal of Direct Marketing , vol.11 , Issue.4 , pp. 42-52
    • Haughton, D.1    Oulabi, S.2
  • 8
    • 56349107438 scopus 로고    scopus 로고
    • Heylighen, F. (1997). Occam's razor. http://pespmc1.vub.ac.be/OCCAMRAZ.html.
    • Heylighen, F. (1997). Occam's razor. http://pespmc1.vub.ac.be/OCCAMRAZ.html.
  • 9
    • 56349118940 scopus 로고    scopus 로고
    • Holland, J.H. (1975). Adaptation in natural and artificial systems. Ann Arbor: The University of Michigan Press.
    • Holland, J.H. (1975). Adaptation in natural and artificial systems. Ann Arbor: The University of Michigan Press.
  • 10
    • 0030289773 scopus 로고    scopus 로고
    • Induction of fuzzy rules and membership functions from training examples
    • Hong T.P., and Lee C.Y. Induction of fuzzy rules and membership functions from training examples. Fuzzy Sets and Systems 84 1 (1996) 33-47
    • (1996) Fuzzy Sets and Systems , vol.84 , Issue.1 , pp. 33-47
    • Hong, T.P.1    Lee, C.Y.2
  • 11
    • 33748076461 scopus 로고    scopus 로고
    • A GA-based feature selection and parameters optimization for support vector machines
    • Huang C.L., and Wang C.J. A GA-based feature selection and parameters optimization for support vector machines. Expert Systems with Applications 31 (2006) 231-240
    • (2006) Expert Systems with Applications , vol.31 , pp. 231-240
    • Huang, C.L.1    Wang, C.J.2
  • 13
    • 0029535737 scopus 로고    scopus 로고
    • Kennedy, J., Eberhart, R.C. (1995). Particle swarm optimization. In Proceedings of IEEE international conference on neural networks (pp. 1942-1948). Australia IV: Perth.
    • Kennedy, J., Eberhart, R.C. (1995). Particle swarm optimization. In Proceedings of IEEE international conference on neural networks (pp. 1942-1948). Australia IV: Perth.
  • 14
    • 0031352450 scopus 로고    scopus 로고
    • Kennedy, J., & Eberhart, R.C. (1997). A discrete binary version of the particle swarm algorithm. In Proceedings of the IEEE international conference on systems, Man, and Cybernetics (pp. 4104-4108).
    • Kennedy, J., & Eberhart, R.C. (1997). A discrete binary version of the particle swarm algorithm. In Proceedings of the IEEE international conference on systems, Man, and Cybernetics (pp. 4104-4108).
  • 15
    • 2342652260 scopus 로고    scopus 로고
    • An intelligent system for customer targeting: A data mining approach
    • Kim Y.S., and Street W.N. An intelligent system for customer targeting: A data mining approach. Decision Support Systems 37 (2004) 215-228
    • (2004) Decision Support Systems , vol.37 , pp. 215-228
    • Kim, Y.S.1    Street, W.N.2
  • 16
  • 21
    • 0344872506 scopus 로고    scopus 로고
    • Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines
    • Peng S., Xu Q., Ling X.B., Peng X., Du W., and Chen L. Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines. FEBS Letters 555 (2003) 358-362
    • (2003) FEBS Letters , vol.555 , pp. 358-362
    • Peng, S.1    Xu, Q.2    Ling, X.B.3    Peng, X.4    Du, W.5    Chen, L.6
  • 22
    • 0030372023 scopus 로고    scopus 로고
    • On combining artificial neural nets
    • Sharkey A.J.C. On combining artificial neural nets. Connection Science 8 (1996) 299-314
    • (1996) Connection Science , vol.8 , pp. 299-314
    • Sharkey, A.J.C.1
  • 23
    • 0031700696 scopus 로고    scopus 로고
    • Shi, Y., & Eberhart, R.C. (1998). A modified particle swarm optimizer. In Proceeding of IEEE congress on evolutionary computation (pp. 69-73). Alaska: Anchorage.
    • Shi, Y., & Eberhart, R.C. (1998). A modified particle swarm optimizer. In Proceeding of IEEE congress on evolutionary computation (pp. 69-73). Alaska: Anchorage.
  • 24
    • 33646163895 scopus 로고    scopus 로고
    • Entropy-based fuzzy rough classification approach for extracting classification rules
    • Tsai Y.C., Cheng C.H., and Chang J.R. Entropy-based fuzzy rough classification approach for extracting classification rules. Expert Systems with Applications 31 2 (2006) 436-443
    • (2006) Expert Systems with Applications , vol.31 , Issue.2 , pp. 436-443
    • Tsai, Y.C.1    Cheng, C.H.2    Chang, J.R.3
  • 25
    • 0033078158 scopus 로고    scopus 로고
    • A new method for constructing membership functions and fuzzy rules from training examples
    • Wu T.P., and Chen S.M. A new method for constructing membership functions and fuzzy rules from training examples. IEEE Transactions on Systems, Man and Cybernetics-Part B 29 1 (1999) 25-40
    • (1999) IEEE Transactions on Systems, Man and Cybernetics-Part B , vol.29 , Issue.1 , pp. 25-40
    • Wu, T.P.1    Chen, S.M.2
  • 26
    • 0032028297 scopus 로고    scopus 로고
    • Feature subset selection using a genetic algorithm
    • Yang J., and Honavar V. Feature subset selection using a genetic algorithm. IEEE Intelligent Systems 13 1 (1998) 44-49
    • (1998) IEEE Intelligent Systems , vol.13 , Issue.1 , pp. 44-49
    • Yang, J.1    Honavar, V.2
  • 27
    • 28544448372 scopus 로고    scopus 로고
    • Constructing response model using ensemble based on feature subset selection
    • Yu E., and Cho S. Constructing response model using ensemble based on feature subset selection. Expert Systems with Applications 30 (2006) 352-360
    • (2006) Expert Systems with Applications , vol.30 , pp. 352-360
    • Yu, E.1    Cho, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.