A study on feature selection for toxicity prediction

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3614, Issue PART II, 2005, Pages 31-34

  Guo, Gongde ^a   Neagu, Daniel ^a   Cronin, Mark T D ^b  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

^b LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; IMAGE RECONSTRUCTION; LINEAR SYSTEMS; REGRESSION ANALYSIS; TOXICITY;

FEATURE SELECTION; REGRESSION ALGORITHMS; TOXICITY PREDICTION;

ARTIFICIAL INTELLIGENCE;

EID: 26944461597     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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3. Guo, G., Wang, H., Bell, D. Bi, Y. and Greer, K.: KNN Model-based Approach in Classification, CoopIS/DOA/ODBASE 2003, Springer-Verlag (2003) 986-996
4. Wilson, D.R. and Martinez, T.R.: Improved Heterogeneous Distance Functions, Journal of Artificial Intelligence Research (JAIR), Vol. 6-1 (1997) 1-34
5. 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) 1201-1221
6. Witten, I.H. and Frank, E.: Data Mining: Practical Machine Learning Tools with Java Implementations, Morgan Kaufmann, San Francisco (2000)