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Volumn 19, Issue 6, 2006, Pages 396-403

Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge

Author keywords

Data mining; Fuzzy artificial neural networks; Human resource management

Indexed keywords

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; FUZZY SETS; MATHEMATICAL MODELS; NEURAL NETWORKS; PERSONNEL;

EID: 33747893855     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2006.04.003     Document Type: Article
Times cited : (62)

References (20)
  • 1
    • 0036568138 scopus 로고    scopus 로고
    • Data mining and knowledge discovery in proton nuclear magnetic resonance spectra using frequency to information transformation
    • Valafar H., and Valafar F. Data mining and knowledge discovery in proton nuclear magnetic resonance spectra using frequency to information transformation. Knowledge-Based Systems 15 (2002) 251-259
    • (2002) Knowledge-Based Systems , vol.15 , pp. 251-259
    • Valafar, H.1    Valafar, F.2
  • 2
    • 0037911566 scopus 로고    scopus 로고
    • Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption
    • Pendharkar P.C., and Rodger J.A. Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption. Decision Support Systems 36 (2003) 117-136
    • (2003) Decision Support Systems , vol.36 , pp. 117-136
    • Pendharkar, P.C.1    Rodger, J.A.2
  • 3
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference systems
    • Jang J. ANFIS: Adaptive-network-based fuzzy inference systems. IEEE Transaction Systems, Man and Cybernetics 23 (1993) 665-685
    • (1993) IEEE Transaction Systems, Man and Cybernetics , vol.23 , pp. 665-685
    • Jang, J.1
  • 4
    • 0002283033 scopus 로고    scopus 로고
    • From data mining to knowledge discovery in databases
    • Fayyad U., Piatetsky-Shapiro G., and Smith P. From data mining to knowledge discovery in databases. AI Magazine (1996) 37-53
    • (1996) AI Magazine , pp. 37-53
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smith, P.3
  • 6
    • 0035924010 scopus 로고    scopus 로고
    • Business data mining - a machine learning perspective
    • Bose I., and Mahapatra R.K. Business data mining - a machine learning perspective. Information and Management 39 (2001) 211-225
    • (2001) Information and Management , vol.39 , pp. 211-225
    • Bose, I.1    Mahapatra, R.K.2
  • 7
    • 33947602485 scopus 로고
    • Neural networks in designing fuzzy systems for real world applications
    • Halgamuge S.K., and Glesner M. Neural networks in designing fuzzy systems for real world applications. Fuzzy Sets and Systems 65 (1994) 1-12
    • (1994) Fuzzy Sets and Systems , vol.65 , pp. 1-12
    • Halgamuge, S.K.1    Glesner, M.2
  • 8
    • 0036888743 scopus 로고    scopus 로고
    • Extract intelligible and concise fuzzy rules from neural networks
    • Huang S.H., and Xing H. Extract intelligible and concise fuzzy rules from neural networks. Fuzzy Sets and Systems 132 (2002) 233-243
    • (2002) Fuzzy Sets and Systems , vol.132 , pp. 233-243
    • Huang, S.H.1    Xing, H.2
  • 9
    • 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
  • 10
    • 1442286179 scopus 로고    scopus 로고
    • Usefulness of artificial neural networks for early warning system of economic crisis
    • Kim T.Y., Oh K.J., Sohn I., and Hwang C. Usefulness of artificial neural networks for early warning system of economic crisis. Expert Systems with Application 26 (2004) 589-590
    • (2004) Expert Systems with Application , vol.26 , pp. 589-590
    • Kim, T.Y.1    Oh, K.J.2    Sohn, I.3    Hwang, C.4
  • 11
    • 0034138544 scopus 로고    scopus 로고
    • The integrated methodology of rough set theory and Artificial Neural Network for business failure prediction
    • Ahn B.S., Cho S.S., and Kim C.Y. The integrated methodology of rough set theory and Artificial Neural Network for business failure prediction. Expert Systems with Application (2000) 1865-1874
    • (2000) Expert Systems with Application , pp. 1865-1874
    • Ahn, B.S.1    Cho, S.S.2    Kim, C.Y.3
  • 12
    • 0036754795 scopus 로고    scopus 로고
    • An intelligent sales forecasting system through integration of Artificial Neural networks and fuzzy neural networks with weight elimination
    • Kuo R.J., Wu P., and Wang C.P. An intelligent sales forecasting system through integration of Artificial Neural networks and fuzzy neural networks with weight elimination. Neural Networks 15 (2002) 909-925
    • (2002) Neural Networks , vol.15 , pp. 909-925
    • Kuo, R.J.1    Wu, P.2    Wang, C.P.3
  • 13
    • 33747891730 scopus 로고    scopus 로고
    • H. Mannila, Methods and problems in data mining, in: The International Conference on Database Theory, 1997.
  • 14
    • 85198674538 scopus 로고    scopus 로고
    • J.S. Park, M.S. Chen, P.S. Yu, An effective hash based algorithm for mining association rules, in: Proceedings of ACM SIGMOD, 1995, pp. 175-186.
  • 15
    • 33747894138 scopus 로고    scopus 로고
    • K. Uehara, M. Fujise, Learning of fuzzy-inference criteria with artificial neutral network, in: Proceedings of the International Conference on Fuzzy Logic and Neural Networks (Izuka, Japan, 20-24), 1990, pp. 193-198.
  • 18
    • 33747893996 scopus 로고    scopus 로고
    • N. Tschichold-Gürman, RuleNet - A new knowledge-based artificial neural network model with application examples in robotics, Ph.D. thesis, 1996.
  • 19
    • 0026923465 scopus 로고
    • Learning and tuning fuzzy logic controllers through reinforcements
    • Berenji H.R., and Khedkar P. Learning and tuning fuzzy logic controllers through reinforcements. IEEE Transactions on Neural Networks 3 (1992) 724-740
    • (1992) IEEE Transactions on Neural Networks , vol.3 , pp. 724-740
    • Berenji, H.R.1    Khedkar, P.2
  • 20
    • 33747891465 scopus 로고    scopus 로고
    • T. Yamakawa, Pattern recognition hardware system employing a fuzzy neuron, in: Proceedings of the International Conference on Fuzzy Logic and Neural Networks (Izuka, Japan, 20-24), 1990, pp. 943-948.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.