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Volumn 527, Issue , 2014, Pages 95-109

Supervised pre-processing of numerical variables for multi-relational data mining

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Indexed keywords


EID: 84958529517     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-02999-3_6     Document Type: Article
Times cited : (2)

References (13)
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  • 2
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    • MODL: A Bayes optimal discretization method for continuous attributes
    • Boullé 2006
    • Boullé, 2006 Boullé, M.: MODL: A Bayes optimal discretization method for continuous attributes. Machine Learning 65(1), 131-165 (2006
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    • Boullé, M.1
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    • Boullé, 2011 Guyon, I., Cawley, G., Dror, G., Saffari, A. (eds. Microtome Publishing
    • Boullé, 2011 Boullé, M.: Data Grid Models for Preparation and Modeling in Supervised Learning. In: Guyon, I., Cawley, G., Dror, G., Saffari, A. (eds.) Hand on Pattern Recognition: Challenges in Machine Learning, pp. 99-130. Microtome Publishing (2011
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    • Boullé, M.1
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    • 0002047785 scopus 로고    scopus 로고
    • Inductive logic programming and knowledge discovery in databases
    • Džeroski 1996 American Association for Artificial Intelligence, Menlo Park
    • Džeroski, 1996 Džeroski, S.: Inductive logic programming and knowledge discovery in databases. In: Advances in Knowledge Discovery and Data Mining, pp. 117-152. American Association for Artificial Intelligence, Menlo Park (1996
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 117-152
    • Džeroski, S.1
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    • Multi-interval discretization of continuous-valued attributes for classification learning
    • Fayyad and Irani 1993
    • Fayyad and Irani, 1993 Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Thirteenth International Joint Conference on Artificial Intelligence, pp. 1022-1027 (1993
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    • Fayyad, U.M.1    Irani, K.B.2
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    • An introduction to variable and feature selection
    • Guyon And Elisseeff 2003
    • Guyon and Elisseeff, 2003 Guyon, I., Elisseeff, A.: An Introduction to Variable and Feature Selection. Journal of Machine Learning Research 3, 1157-1182 (2003
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 9
    • 33646407272 scopus 로고    scopus 로고
    • Numbers in multi-relational data mining
    • Knobbe And Ho 2005 Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds. Springer, Heidelberg
    • Knobbe and Ho, 2005 Knobbe, A.J., Ho, E.K.Y.: Numbers in multi-relational data mining. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol. 3721, pp. 544-551. Springer, Heidelberg (2005
    • (2005) PKDD 2005 LNCS (LNAI , vol.3721 , pp. 544-551
    • Knobbe, A.J.1    Ho, E.K.Y.2
  • 10
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    • Kramer et al. 2001 Džeroski, S., Lavrač, N. (eds. ch. 11 Springer, New York
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    • A mathematical theory of communication technical report
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    • Van Laer et al., 1997 Van Laer,W., De Raedt, L., Džeroski, S.: On multi-class problems and discretization in inductive logic programming. In: Ra's, Z.W., Skowron, A. (eds.) ISMIS 1997. LNCS, vol. 1325, pp. 277-286. Springer, Heidelberg (1997
    • (1997) ISMIS 1997 LNCS , vol.1325 , pp. 277-286
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.