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Volumn 3686, Issue PART I, 2005, Pages 410-419

Using kNN model for automatic feature selection

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DATA ACQUISITION; FUNCTIONS; INFORMATION ANALYSIS; NEURAL NETWORKS;

EID: 27244434833     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11551188_44     Document Type: Conference Paper
Times cited : (13)

References (18)
  • 1
    • 0036882521 scopus 로고    scopus 로고
    • Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to tetrahymena pyriformis
    • Cronin, M.T.D., Aptula, A.O., Duffy, J. C. et al.: Comparative Assessment of Methods to Develop QSARs for the Prediction of the Toxicity of Phenols to Tetrahymena Pyriformis, Chemosphere 49 (2002), pp. 1201-1221
    • (2002) Chemosphere , vol.49 , pp. 1201-1221
    • Cronin, M.T.D.1    Aptula, A.O.2    Duffy, J.C.3
  • 3
    • 0242712881 scopus 로고    scopus 로고
    • kNN model-based approach in classification
    • Proc. of CoopIS/DOA/ODBASE 2003, Springer-Verlag
    • Guo, G., Wang, H., Bell, D. et al.: kNN Model-based Approach in Classification, In Proc. of CoopIS/DOA/ODBASE 2003, LNCS 2888, Springer-Verlag, pp. 986-996 (2003)
    • (2003) LNCS , vol.2888 , pp. 986-996
    • Guo, G.1    Wang, H.2    Bell, D.3
  • 6
    • 85099325734 scopus 로고
    • Irrelevant feature and the subset selection problem
    • W.W. Cohen and Hirsh H., editors, New Brunswick, N.J., Rutgers University
    • John, G.H., Kohavi, R. and Pfleger, K.: Irrelevant Feature and the Subset Selection Problem. In W.W. Cohen and Hirsh H., editors, Machine Learning: Proc. of the Eleventh International Conference (1994), pp. 121-129, New Brunswick, N.J., Rutgers University
    • (1994) Machine Learning: Proc. of the Eleventh International Conference , pp. 121-129
    • John, G.H.1    Kohavi, R.2    Pfleger, K.3
  • 7
    • 85146422424 scopus 로고
    • A practical approach to feature selection
    • Kira, K. and Rendell, L.A.: A Practical Approach to Feature Selection. Machine Learning (1992): 249-256
    • (1992) Machine Learning , pp. 249-256
    • Kira, K.1    Rendell, L.A.2
  • 9
    • 7444252802 scopus 로고    scopus 로고
    • Active feature selection using classes
    • Liu, H., Yu, L., Dash, M. and Motoda, H.: Active Feature Selection Using Classes. In Proc. of PAKDD'03, pp. 474-485 (2003)
    • (2003) Proc. of PAKDD'03 , pp. 474-485
    • Liu, H.1    Yu, L.2    Dash, M.3    Motoda, H.4
  • 10
    • 0141990695 scopus 로고    scopus 로고
    • Kluwer Academic Publishers
    • Robnik, M., Kononenko, I.: Machine Learning, Kluwer Academic Publishers (2003), 53, pp. 23-69
    • (2003) Machine Learning , vol.53 , pp. 23-69
    • Robnik, M.1    Kononenko, I.2
  • 11
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • Sikonja, M.R. Kononenko, I.: Theoretical and Empirical Analysis of ReliefF and RReliefF. Machine Learning Journal (2003) 53:23-69
    • (2003) Machine Learning Journal , vol.53 , pp. 23-69
    • Sikonja, M.R.1    Kononenko, I.2
  • 13
    • 0001214991 scopus 로고    scopus 로고
    • TETRATOX: The tetrahymena pyriformis population growth impairment endpoint - A surrogate for fish lethality
    • Scheultz, T.W.: TETRATOX: The Tetrahymena Pyriformis Population Growth Impairment Endpoint - A Surrogate for Fish Lethality. Toxicol. Methods, 7, 289-309 (1997)
    • (1997) Toxicol. Methods , vol.7 , pp. 289-309
    • Scheultz, T.W.1
  • 14
    • 0000898029 scopus 로고    scopus 로고
    • Identification of mechanisms of toxic action of phenols to tetrahymena pyriformis from molecular descriptors
    • Chen, F., Schuurmann, G. (Eds.). SETAC Press, Presacola, FL, USA
    • Schultz, T.W., Sinks, G.D., Cronin, M.T.D.: Identification of Mechanisms of Toxic Action of Phenols to Tetrahymena Pyriformis from Molecular Descriptors. In: Chen, F., Schuurmann, G. (Eds.), Quantitative Structure-Activity Relationships in Environmental Sciences - VII. SETAC Press, Presacola, FL, USA, pp. 329-342 (1997)
    • (1997) Quantitative Structure-activity Relationships in Environmental Sciences - VII , pp. 329-342
    • Schultz, T.W.1    Sinks, G.D.2    Cronin, M.T.D.3
  • 18
    • 0036532821 scopus 로고    scopus 로고
    • A hybrid filter/wrapper approach of feature selection using information theory
    • Sebban, M. and Nock, R..: A Hybrid Filter/Wrapper Approach of Feature Selection Using Information Theory. Pattern Recognition 35(4):835-846 (2002)
    • (2002) Pattern Recognition , vol.35 , Issue.4 , pp. 835-846
    • Sebban, M.1    Nock, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.