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Volumn 24, Issue , 2012, Pages 9-25

Data Mining with Multilayer Perceptrons and Support Vector Machines

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EID: 84885602090     PISSN: 18684394     EISSN: 18684408     Source Type: Book Series    
DOI: 10.1007/978-3-642-23242-8_2     Document Type: Article
Times cited : (10)

References (40)
  • 4
    • 0344687410 scopus 로고    scopus 로고
    • Data mining and the impact of missing data
    • Brown, M., Kros, J.: Data mining and the impact of missing data. Industrial Management & Data Systems 103(8), 611-621 (2003)
    • (2003) Industrial Management & Data Systems , vol.103 , Issue.8 , pp. 611-621
    • Brown, M.1    Kros, J.2
  • 7
    • 0346250790 scopus 로고    scopus 로고
    • Practical Selection of SVMParameters and Noise Estimation for SVM Regression
    • Cherkassy, V, Ma, Y. Practical Selection of SVMParameters and Noise Estimation for SVM Regression. Neural Networks 17(1), 113-126 (2004)
    • (2004) Neural Networks , vol.17 , Issue.1 , pp. 113-126
    • Cherkassy, V.1    Ma, Y.2
  • 8
    • 84885613401 scopus 로고    scopus 로고
    • CRISP-DM Web Site
    • CRISP-DM consortium. CRISP-DM Web Site (2010), http://www.crisp-dm.org/
    • (2010) CRISP-DM Consortium
  • 9
    • 34249753618 scopus 로고
    • Support Vector Networks
    • Cortes, C.,Vapnik, V.: Support Vector Networks. Machine Learning 20(3), 273-297 (1995)
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 11
    • 72049084727 scopus 로고    scopus 로고
    • Modeling wine preferences by data mining from physicochemical properties
    • Cortez, P., Cerdeira, A., Almeida, F., Matos, T., Reis, J.: Modeling wine preferences by data mining from physicochemical properties. Decision Support Systems 47(4), 547-553 (2009)
    • (2009) Decision Support Systems , vol.47 , Issue.4 , pp. 547-553
    • Cortez, P.1    Cerdeira, A.2    Almeida, F.3    Matos, T.4    Reis, J.5
  • 13
    • 71049191103 scopus 로고    scopus 로고
    • Using data mining for wine quality assessment
    • In: Gama, J., Costa, V.S., Jorge, A.M., Brazdil, P.B. (eds.), Springer, Heidelberg
    • Cortez, P., Teixeira, J., Cerdeira, A., Almeida, F., Matos, T., Reis, J.: Using data mining for wine quality assessment. In: Gama, J., Costa, V.S., Jorge, A.M., Brazdil, P.B. (eds.) DS 2009. LNCS, vol. 5808, pp. 66-79. Springer, Heidelberg (2009)
    • (2009) DS 2009. LNCS, Vol. 5808 , pp. 66-79
    • Cortez, P.1    Teixeira, J.2    Cerdeira, A.3    Almeida, F.4    Matos, T.5    Reis, J.6
  • 14
    • 0000259511 scopus 로고    scopus 로고
    • Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
    • Dietterich, T.: Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. Neural Computation 10(7), 1895-1923 (1998)
    • (1998) Neural Computation , vol.10 , Issue.7 , pp. 1895-1923
    • Dietterich, T.1
  • 15
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • Fawcett, T.: An introduction to ROC analysis. Pattern Recognition Letters 27, 861-874 (2006)
    • (2006) Pattern Recognition Letters , vol.27 , pp. 861-874
    • Fawcett, T.1
  • 17
    • 0012320945 scopus 로고    scopus 로고
    • Statistical Evaluation of Neural Networks Experiments: Minimum Requirements and Current Practice
    • Vienna, Austria
    • Flexer, A.: Statistical Evaluation of Neural Networks Experiments: Minimum Requirements and Current Practice. Proceedings of the 13th European Meeting on Cybernetics and Systems Research, Vienna, Austria, vol. 2, pp. 1005-1008 (1996)
    • (1996) Proceedings of the 13th European Meeting On Cybernetics and Systems Research , vol.2 , pp. 1005-1008
    • Flexer, A.1
  • 22
    • 0034187691 scopus 로고    scopus 로고
    • Data StripMining for the Virtual Design of Pharmaceuticals with Neural Networks
    • Kewley, R., Embrechts, M., Breneman, C.: Data StripMining for the Virtual Design of Pharmaceuticals with Neural Networks. IEEE Trans. Neural Networks 11(3), 668-679 (2000)
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.3 , pp. 668-679
    • Kewley, R.1    Embrechts, M.2    Breneman, C.3
  • 23
    • 0001290841 scopus 로고    scopus 로고
    • Glossary of Terms
    • Kohavi, R., Provost, F.: Glossary of Terms. Machine Learning 30(2/3), 271-274 (1998)
    • (1998) Machine Learning , vol.30 , Issue.2-3 , pp. 271-274
    • Kohavi, R.1    Provost, F.2
  • 26
    • 84885610260 scopus 로고    scopus 로고
    • Software Suites for Data Mining, Analytics, and Knowledge Discovery
    • Piatetsky-Shapiro, G.: Software Suites for Data Mining, Analytics, and Knowledge Discovery (2010), http://www.kdnuggets.com/software/suites.html
    • (2010)
    • Piatetsky-Shapiro, G.1
  • 27
    • 0042346121 scopus 로고    scopus 로고
    • Tree Induction for Probability-Based Ranking
    • Provost, F., Domingos, P.: Tree Induction for Probability-Based Ranking. Machine Learning 52(3), 199-215 (2003)
    • (2003) Machine Learning , vol.52 , Issue.3 , pp. 199-215
    • Provost, F.1    Domingos, P.2
  • 29
    • 34548180859 scopus 로고    scopus 로고
    • Evolution of Neural Networks for Classification and Regression
    • Rocha, M., Cortez, P., Neves, J.: Evolution of Neural Networks for Classification and Regression. Neurocomputing 70, 2809-2816 (2007)
    • (2007) Neurocomputing , vol.70 , pp. 2809-2816
    • Rocha, M.1    Cortez, P.2    Neves, J.3
  • 31
    • 85006992050 scopus 로고    scopus 로고
    • Techniques for Extracting Classification and Regression Rules from Artificial Neural Networks
    • Fogel, D., Robinson, C. (eds.), IEEE, Piscataway
    • Setiono, R.: Techniques for Extracting Classification and Regression Rules from Artificial Neural Networks. Fogel, D., Robinson, C. (eds.) Computational Intelligence: The Experts Speak, pp. 99-114. IEEE, Piscataway (2003)
    • (2003) Computational Intelligence: The Experts Speak , pp. 99-114
    • Setiono, R.1
  • 32
    • 46549086460 scopus 로고    scopus 로고
    • Rating organ failure via adverse events using data mining in the intensive care unit
    • Silva, Á Cortez, P., Santos, M.F., Gomes, L., Neves, J.: Rating organ failure via adverse events using data mining in the intensive care unit. Artificial Intelligence in Medicine 43(3), 179-193 (2008)
    • (2008) Artificial Intelligence In Medicine , vol.43 , Issue.3 , pp. 179-193
    • Silva, Á.1    Cortez, P.2    Santos, M.F.3    Gomes, L.4    Neves, J.5
  • 33
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Smola, A., Scholkopf, B.:A tutorial on support vector regression. Statistics and Computing 14, 199-222 (2004)
    • (2004) Statistics and Computing , vol.14 , pp. 199-222
    • Smola, A.1    Scholkopf, B.2
  • 34
    • 84885621676 scopus 로고    scopus 로고
    • Kernel-Machines.Org
    • Smola, A., Scholkopf, B. Kernel-Machines.Org (2010), http://www.kernel-machines.org/
    • (2010)
    • Smola, A.1    Scholkopf, B.2
  • 37
    • 0345688978 scopus 로고    scopus 로고
    • Determination of the spread parameter in the Gaussian kernel for classification and regression
    • Wang, W., Xu, Z., Lu, W, Zhang, X, Determination of the spread parameter in the Gaussian kernel for classification and regression. Neurocomputing 55(3), 643-663 (2003)
    • (2003) Neurocomputing , vol.55 , Issue.3 , pp. 643-663
    • Wang, W.1    Xu, Z.2    Lu, W.3    Zhang, X.4
  • 39
    • 51349159085 scopus 로고    scopus 로고
    • Probability estimates for multi-class classification by pairwise coupling
    • Wu, T.F., Lin, C.J., Weng, R.C.: Probability estimates for multi-class classification by pairwise coupling. The Journal of Machine Learning Research 5, 975-1005 (2004)
    • (2004) The Journal of Machine Learning Research , vol.5 , pp. 975-1005
    • Wu, T.F.1    Lin, C.J.2    Weng, R.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.