메뉴 건너뛰기




Volumn 13, Issue 2-3, 1997, Pages 211-229

Using neural networks for data mining

Author keywords

Comprehensible models; Decision trees; Machine learning; Neural networks; Perceptions; Rule extraction

Indexed keywords

DATA ACQUISITION; DATABASE SYSTEMS; DECISION THEORY; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; TREES (MATHEMATICS);

EID: 0031270141     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0167-739x(97)00022-8     Document Type: Article
Times cited : (185)

References (21)
  • 1
    • 0029484103 scopus 로고
    • Tickle, a survey and critique of techniques for extracting rules from trained artificial neural networks
    • R. Andrews, J. Diederich and A.B. Tickle, A survey and critique of techniques for extracting rules from trained artificial neural networks, Knowledge-Based Syst. 8 (6) (1995).
    • (1995) Knowledge-based Syst. , vol.8 , Issue.6
    • Andrews, R.1    Diederich, J.2
  • 4
    • 0003577338 scopus 로고    scopus 로고
    • Ph.D. Thesis, Computer Sciences Department, University of Wisconsin, Madison, WI, available as CS Technical Report 1326; by WWW as
    • M.W. Craven, Extracting comprehensible models from trained neural networks, Ph.D. Thesis, Computer Sciences Department, University of Wisconsin, Madison, WI, 1996; available as CS Technical Report 1326; available by WWW as ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.thesis.ps.Z.
    • (1996) Extracting Comprehensible Models from Trained Neural Networks
    • Craven, M.W.1
  • 5
    • 77953071922 scopus 로고
    • Learning symbolic rules using artificial neural networks
    • Amherst, MA Morgan Kaufmann, Los Altos, CA
    • M. Craven and J. Shavlik, Learning symbolic rules using artificial neural networks, in: Proc. 10th Internat. Conf. on Machine Learning, Amherst, MA (Morgan Kaufmann, Los Altos, CA, 1993) 73-80.
    • (1993) Proc. 10th Internat. Conf. on Machine Learning , pp. 73-80
    • Craven, M.1    Shavlik, J.2
  • 6
    • 0002190767 scopus 로고    scopus 로고
    • Extracting tree-structured representations of trained networks
    • eds. D. Touretzky, M. Mozer and M. Hasselmo, MIT Press, Cambridge, MA
    • M.W. Craven and J.W. Shavlik, Extracting tree-structured representations of trained networks, in: Advances in Neural Information Processing Systems, eds. D. Touretzky, M. Mozer and M. Hasselmo, Vol. 8 (MIT Press, Cambridge, MA, 1996).
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Craven, M.W.1    Shavlik, J.W.2
  • 7
    • 0002978642 scopus 로고    scopus 로고
    • Experiments with a new boosting algorithm
    • Bari, Italy Morgan Kaufmann Los Altos, CA
    • Y. Freund and R.E. Schapire, Experiments with a new boosting algorithm, in: Proc. 13th Internat. Conf. on Machine Learning, Bari, Italy (Morgan Kaufmann Los Altos, CA, 1996) 148-156.
    • (1996) Proc. 13th Internat. Conf. on Machine Learning , pp. 148-156
    • Freund, Y.1    Schapire, R.E.2
  • 8
    • 84920183623 scopus 로고
    • Rule learning by searching on adapted nets
    • Anaheim, CA AAAI, Menlo Park, CA/MIT Press, Cambridge, MA
    • L. Fu, Rule learning by searching on adapted nets, in: Proc. 9th National Conf. on Artificial Intelligence, Anaheim, CA (AAAI, Menlo Park, CA/MIT Press, Cambridge, MA, 1991) 590-595.
    • (1991) Proc. 9th National Conf. on Artificial Intelligence , pp. 590-595
    • Fu, L.1
  • 10
    • 0001327717 scopus 로고
    • Learning and extracting finite state automata with second-order recurrent neural networks
    • C.L. Giles, C.B. Miller, D. Chen, H.H. Chen, G.Z. Sun and Y.C. Lee, Learning and extracting finite state automata with second-order recurrent neural networks, Neural Comput. 4 (1992) 393-405.
    • (1992) Neural Comput. , vol.4 , pp. 393-405
    • Giles, C.L.1    Miller, C.B.2    Chen, D.3    Chen, H.H.4    Sun, G.Z.5    Lee, Y.C.6
  • 11
    • 0000305486 scopus 로고    scopus 로고
    • Learning sparse perceptrons
    • eds. D. Touretzky, M. Mozer and M. Hasselmo, MIT Press, Cambridge, MA
    • J.C. Jackson and M.W. Craven, Learning sparse perceptrons, in: Advances in Neural Information Processing Systems, eds. D. Touretzky, M. Mozer and M. Hasselmo, Vol. 8 (MIT Press, Cambridge, MA, 1996).
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Jackson, J.C.1    Craven, M.W.2
  • 13
    • 18444383053 scopus 로고    scopus 로고
    • Symbolic conversion, grammatical inference and rule extraction for foreign exchange rate prediction
    • eds. Y. Abu-Mostafa, A.S. Weigend and P.N. Refenes World Scientific, Singapore
    • S. Lawrence, C.L. Giles and A.C. Tsoi, Symbolic conversion, grammatical inference and rule extraction for foreign exchange rate prediction, in: Neural Networks in the Capital Markets, eds. Y. Abu-Mostafa, A.S. Weigend and P.N. Refenes (World Scientific, Singapore, 1997).
    • (1997) Neural Networks in the Capital Markets
    • Lawrence, S.1    Giles, C.L.2    Tsoi, A.C.3
  • 15
    • 0002656190 scopus 로고
    • Feature discovery by competitive learning
    • D.E. Rumelhart and D. Zipser, Feature discovery by competitive learning, Cognitive Sci. 9 (1985) 75-112.
    • (1985) Cognitive Sci. , vol.9 , pp. 75-112
    • Rumelhart, D.E.1    Zipser, D.2
  • 16
    • 0024125982 scopus 로고
    • Medical diagnostic expert system based on PDP model
    • San Diego, CA IEEE Press, New York
    • K. Saito and R. Nakano, Medical diagnostic expert system based on PDP model, in: Proc. IEEE Internat. Conf. on Neural Networks, San Diego, CA (IEEE Press, New York, 1988) 255-262.
    • (1988) Proc. IEEE Internat. Conf. on Neural Networks , pp. 255-262
    • Saito, K.1    Nakano, R.2
  • 17
    • 85013539434 scopus 로고
    • Symbolic approximation of feedforward neural networks
    • eds. E.S. Gelsema and L.N. Kanal, North-Holland, New York
    • I.K. Sethi and J.H. Yoo, Symbolic approximation of feedforward neural networks, in: Pattern Recognition in Practice, eds. E.S. Gelsema and L.N. Kanal, Vol. 4 (North-Holland, New York, 1994).
    • (1994) Pattern Recognition in Practice , vol.4
    • Sethi, I.K.1    Yoo, J.H.2
  • 18
    • 0026119038 scopus 로고
    • Symbolic and neural net learning algorithms: An empirical comparison
    • J. Shavlik, R. Mooney and G. Towell, Symbolic and neural net learning algorithms: An empirical comparison, Mach. Learning 6 (1991) 111-143.
    • (1991) Mach. Learning , vol.6 , pp. 111-143
    • Shavlik, J.1    Mooney, R.2    Towell, G.3
  • 19
    • 0003276432 scopus 로고
    • Extracting rules from artificial neural networks with distributed representations
    • eds. G. Tesauro, D. Touretzky and T. Leen, MIT Press, Cambridge, MA
    • S. Thrun, Extracting rules from artificial neural networks with distributed representations, in: Advances in Neural Information Processing Systems, eds. G. Tesauro, D. Touretzky and T. Leen, Vol. 7 (MIT Press, Cambridge, MA 1995).
    • (1995) Advances in Neural Information Processing Systems , vol.7
    • Thrun, S.1
  • 20
    • 0027678679 scopus 로고
    • Extracting refined rules from knowledge-based neural networks
    • G. Towell and J. Shavlik, Extracting refined rules from knowledge-based neural networks, Mach. Learning 13 (1) (1993) 71-101.
    • (1993) Mach. Learning , vol.13 , Issue.1 , pp. 71-101
    • Towell, G.1    Shavlik, J.2
  • 21
    • 0028387642 scopus 로고
    • Neural networks: Applications in industry, business, and science
    • B. Widrow, D.E. Rumelhart and M.A. Lehr, Neural networks: Applications in industry, business, and science, Commun. ACM 37 (3) (1994) 93-105.
    • (1994) Commun. ACM , vol.37 , Issue.3 , pp. 93-105
    • Widrow, B.1    Rumelhart, D.E.2    Lehr, M.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.