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Volumn 1910, Issue , 2000, Pages 126-135

Zoomed ranking: Selection of classification algorithms based on relevant performance information

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

EID: 56349106935     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_13     Document Type: Conference Paper
Times cited : (58)

References (21)
  • 3
    • 0001896313 scopus 로고    scopus 로고
    • The process of knowledge discovery in databases
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors,, chapter 2, AAAI Press/The MIT Press
    • R.J. Brachman and T. Anand. The process of knowledge discovery in databases. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, chapter 2, pages 37-57. AAAI Press/The MIT Press, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 37-57
    • Brachman, R.J.1    Anand, T.2
  • 4
    • 84958528434 scopus 로고
    • Characterizing the applicability of classification algorithms using meta-level learning
    • F. Bergadano and L. de Raedt, editors,, Springer-Verlag
    • P. Brazdil, J. Gama, and B. Henery. Characterizing the applicability of classification algorithms using meta-level learning. In F. Bergadano and L. de Raedt, editors, Proceedings of the European Conference on Machine Learning (ECML-94), pages 83-102. Springer-Verlag, 1994.
    • (1994) Proceedings of the European Conference on Machine Learning (ECML-94) , pp. 83-102
    • Brazdil, P.1    Gama, J.2    Henery, B.3
  • 6
    • 85118837783 scopus 로고
    • Addressing the selective superiority problem: Automatic Algorithm/Model class selection
    • P. Utgoff, editor, Morgan Kaufmann
    • C.E. Brodley. Addressing the selective superiority problem: Automatic Algorithm/Model class selection. In P. Utgoff, editor, Proceedings of the 10th International Conference on Machine Learning, pages 17-24. Morgan Kaufmann, 1993.
    • (1993) Proceedings of the 10th International Conference on Machine Learning , pp. 17-24
    • Brodley, C.E.1
  • 9
    • 0006655017 scopus 로고
    • Characterization of classification algorithms
    • C. Pinto-Ferreira and N.J. Mamede, editors, Springer-Verlag
    • J. Gama and P. Brazdil. Characterization of classification algorithms. In C. Pinto-Ferreira and N.J. Mamede, editors, Progress in Artificial Intelligence, pages 189-200. Springer-Verlag, 1995.
    • (1995) Progress in Artificial Intelligence , pp. 189-200
    • Gama, J.1    Brazdil, P.2
  • 10
    • 0000153354 scopus 로고    scopus 로고
    • NOEMON: Design, implementation and perfor- mance results of an intelligent assistant for classifier selection
    • November
    • A. Kalousis and T. Theoharis. NOEMON: Design, implementation and perfor- mance results of an intelligent assistant for classifier selection. Intelligent Data Analysis, 3(5):319-337, November 1999.
    • (1999) Intelligent Data Analysis , vol.3 , Issue.5 , pp. 319-337
    • Kalousis, A.1    Theoharis, T.2
  • 11
    • 0013151507 scopus 로고    scopus 로고
    • AST: Support for algorithm selection with a CBR approach
    • C. Giraud-Carrier and B. Pfahringer, editors, J. Stefan Institute
    • G. Lindner and R. Studer. AST: Support for algorithm selection with a CBR approach. In C. Giraud-Carrier and B. Pfahringer, editors, Recent Advances in Meta-Learning and Future Work, pages 38-47. J. Stefan Institute, 1999.
    • (1999) Recent Advances in Meta-Learning and Future Work , pp. 38-47
    • Lindner, G.1    Studer, R.2
  • 17
    • 84974680183 scopus 로고    scopus 로고
    • Tutorial Notes, Fourth International Conference on Knowledge Discovery and Data Mining
    • F. Provost and D. Jensen. Evaluating knowledge discovery and data mining. Tutorial Notes, Fourth International Conference on Knowledge Discovery and Data Mining, 1998.
    • (1998) Evaluating knowledge discovery and data mining
    • Provost, F.1    Jensen, D.2
  • 19
    • 28344453227 scopus 로고    scopus 로고
    • Master’s thesis, Faculty of Economics, University of Porto
    • C. Soares. Ranking classification algorithms on past performance. Master’s thesis, Faculty of Economics, University of Porto, 1999. http://www.ncc.up.pt/~csoares/miac/thesisrevised.zip.
    • (1999) Ranking classification algorithms on past performance
    • Soares, C.1


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