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Volumn 8, Issue 1, 1997, Pages 5-28

On the Accuracy of Meta-learning for Scalable Data Mining

Author keywords

Classifiers; Data mining; Machine learning; Meta learning; Scalability

Indexed keywords

CLASSIFIERS; DATA ACQUISITION; DATABASE SYSTEMS; INFORMATION TECHNOLOGY; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; NEURAL NETWORKS;

EID: 0030681095     PISSN: 09259902     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008640732416     Document Type: Article
Times cited : (110)

References (23)
  • 1
    • 0030235637 scopus 로고    scopus 로고
    • Error reduction through learning multiple descriptions
    • to appear
    • Ali, K. and Pazzani, M. Error reduction through learning multiple descriptions. Machine Learning, 1996. to appear.
    • (1996) Machine Learning
    • Ali, K.1    Pazzani, M.2
  • 8
    • 0003087436 scopus 로고    scopus 로고
    • Scaling learning by meta-learning over disjoint and partially replicated data
    • Chan, P. and Stolfo, S. Scaling learning by meta-learning over disjoint and partially replicated data. In Proc. Ninth Florida AI Research Symposium, pages 151-155, 1996.
    • (1996) Proc. Ninth Florida AI Research Symposium , pp. 151-155
    • Chan, P.1    Stolfo, S.2
  • 9
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Clark, P. and Niblett, T. The CN2 induction algorithm. Machine Learning, 3:261-285, 1989.
    • (1989) Machine Learning , vol.3 , pp. 261-285
    • Clark, P.1    Niblett, T.2
  • 10
    • 34250080806 scopus 로고
    • A weighted nearest neighbor algorithm for learning with symbolic features
    • Cost, S. and Salzberg, S. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 10:57-78, 1993.
    • (1993) Machine Learning , vol.10 , pp. 57-78
    • Cost, S.1    Salzberg, S.2
  • 11
    • 2342657119 scopus 로고
    • Learning to represent codons: A challenge problem for constructive induction
    • Craven, M. and J. Shavlik. Learning to represent codons: A challenge problem for constructive induction. In Proc. IJCAI-93, pages 1319-1324, 1993.
    • (1993) Proc. IJCAI-93 , pp. 1319-1324
    • Craven, M.1    Shavlik, J.2
  • 12
    • 0005099793 scopus 로고
    • A study of explanation-based mehtods for inductive learning
    • Flann, N. and Dietterich, T. A study of explanation-based mehtods for inductive learning. Machine Learning, 4:187-266, 1989.
    • (1989) Machine Learning , vol.4 , pp. 187-266
    • Flann, N.1    Dietterich, T.2
  • 13
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • G. Tesauro, D. Touretzky, and T. Leen, editors, MIT Press
    • Krogh, A. and Vedelsby, J. Neural network ensembles, cross validation, and active learning. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Info. Proc. Sys. 7, pages 231-238. MIT Press, 1995.
    • (1995) Advances in Neural Info. Proc. Sys. 7 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 16
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J.R. Induction of decision trees. Machine Learning, 1:81-106, 1986.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 17
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire, R. The strength of weak learnability. Machine Learning, 5:197-226, 1990.
    • (1990) Machine Learning , vol.5 , pp. 197-226
    • Schapire, R.1
  • 19
    • 85158010005 scopus 로고
    • Refinement of approximate domain theories by knowledge-based neural networks
    • Towell, G., Shavlik, J., and Noordewier, M. Refinement of approximate domain theories by knowledge-based neural networks. In Proc. AAAI-90, pages 861-866, 1990.
    • (1990) Proc. AAAI-90 , pp. 861-866
    • Towell, G.1    Shavlik, J.2    Noordewier, M.3
  • 20
    • 0021518106 scopus 로고
    • A theory of the learnable
    • Valiant, L. A theory of the learnable. Comm. ACM, 27:1134-1142, 1984.
    • (1984) Comm. ACM , vol.27 , pp. 1134-1142
    • Valiant, L.1
  • 21
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D. Stacked generalization. Neural Networks, 5:241-259, 1992.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.1
  • 22
    • 0026860706 scopus 로고
    • Methods of combining multiple classifies and their applications to handwriting recognition
    • Xu, L., Krzyzak, A., and Suen, C. Methods of combining multiple classifies and their applications to handwriting recognition. IEEE Trans. Sys. Man. Cyb., 22:418-435, 1992.
    • (1992) IEEE Trans. Sys. Man. Cyb. , vol.22 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.3
  • 23
    • 0026771388 scopus 로고
    • A hybrid system for protein secondary structure prediction
    • Zhang, X., Mesirov, J., and Waltz, D. A hybrid system for protein secondary structure prediction. J. Mol. Biol., 225:1049-1063, 1992.
    • (1992) J. Mol. Biol. , vol.225 , pp. 1049-1063
    • Zhang, X.1    Mesirov, J.2    Waltz, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.