Feature selection via supervised model construction

Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004

Volumn , Issue , 2004, Pages 411-414

  Huang, Y ^a   McCullagh, P J ^a   Black, N D ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA TRANSFORMATIONS; FEATURE SELECTION; FEATURE SELECTION VIA SUPERVISED MODEL CONSTRUCTION (FSSMC); RELIEFF; STARTER SELECTION;

COMPUTATIONAL METHODS; DATA MINING; DATABASE SYSTEMS; HEURISTIC METHODS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

FEATURE EXTRACTION;

EID: 19544373432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2004.10052     Document Type: Conference Paper

References (10)

1. Steppe. J., K.W. Bauer, "Feature Saliency Measures", Computers & Mathematics with Applications, Vol 33, No. 8, 1997, pp. 109-126.
2. Kononenko I., "Estimating attributes: Analysis and Extension of Relief, Proceeding of the Seventh European Conference in Machine Learning, Springer-Verlag, 1994, pp. 171-182.
3. Robnik M., Kononenko I., Machine Learning, Kluwer Academic Publishers, 53, 2003, pp. 23-69.
4. Kononenko I., Simec E., "Induction of Decision Trees using RELIEFF", Proceeding of ISSEK Workshop on Mathematical and Statistical Methods in Artificial Intelligence, Springer, 53, 1995, pp. 199-220.
5. Robnik M., Kononenko I., "Discretization of continuous attributes using ReliefF", Proceeding of Electr. and Comp. Sci. Cof., ERK-95, 1995, pp. 149-152
6. Fayyad, U.M, Piatesky-Shapiro, and G., Smytth P., "From Data Mining to Knowledge Discovery: An Overview", Advances in Knowledge Discovery and Data Mining, AAAI Press/The MIT Press, 1996, pp. 1-34.
7. Kauderer H., Mucha H., "Supervied Learning with Qualitative and Mixed Attributes", Classification, Data Analysis, and Data Highways, Springer-Verlag, 1997, pp. 374-382.
8. Guo G., Wang H., Bell D., Bi Y., Greer K., "KNN Model-Based Approach in Classification", CoopIS/DOA/ODBASE 2003, Springer-Verlag, 2003, pp. 986-996.
9. Molina L., Belanche L., Nebot A., "Feature Selection Algorithms: A Survey and Experimental Evaluation", Proceeding of IEEE International Conference on Data Mining, IEEE, 2002, pp. 306-313
10. Blake, C.L. & Merz, C.J., UCI Repository of machine learning databases, www.ics.uci.edu/~mlearn/. Irvine, CA: University of California, Department of Information and Computer Science. 1998