Combining multiple classifiers for wrapper feature selection

International Journal of Data Mining, Modelling and Management

Volumn 1, Issue 1, 2008, Pages 91-102

  Chrysostomou, Kyriacos ^a   Chen, Sherry Y ^a   Liu, Xiaohui ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Bayesian networks; BN; Decision tree; DT; Feature selection; Support vector machine; SVM; Wrappers

Indexed keywords

EID: 74049138056     PISSN: 17591163     EISSN: 17591171     Source Type: Journal    
DOI: 10.1504/IJDMMM.2008.022539     Document Type: Article

References (26)

1. Benbrahim, H. and Bensaid, A. (2000) 'A comparative study of pruned decision trees and fuzzy decision trees', NAFIPS 19th International Conference of the North American Fuzzy Information Processing Society, 2000, pp. 227-231.
2. Bo, Y. and Luo, Q. (2007) 'Personalized web information recommendation algorithm based on support vector machine', in the 2007 International Conference on Intelligent Pervasive Computing, 2007 (IPC), pp. 487-490.
3. Breiman, L. (1996) 'Bagging predictors', Machine Learning, Vol. 24, pp. 123-140. (Pubitemid 126724382)
4. Chen, R-C. and Hsieh, C-H. (2006) 'Web page classification based on a support vector machine using a weighted vote schema', Expert Systems with Applications, Vol. 31, No. 2, pp. 427-435.
5. Cover, T. and Hart, p. (1967) 'Nearest neighbor pattern classification', IEEE Transactions on Information Theory, Vol. 13, No. 1, pp. 21-27.
6. Cristianini, N. and Shawe-Taylor, J. (2000) An Introduction to Support Vector Machines, Cambridge University Press.
7. De Souza, J.T., Matwin, S. and Japkowicz, N. (2006) 'Parallelizing feature selection', Algorithmica, Vol. 45, No. 3, pp. 433-456. (Pubitemid 43876798)
8. Freund, Y. (1995) 'Boosting a weak learning algorithm by majority', Information and Computation, Vol. 121, pp. 256-285.
9. Frias-Martinez, E. (2007) 'User modelling for digital libraries: a data mining approach', PhD thesis, Brunel University.
10. Friedman, N., Geiger, D. and Goldszmidt, M. (1997) 'Bayesian network classifiers', Machine Learning, Vol. 29, pp. 131-163. (Pubitemid 127510036)
11. Ghosh, A.K. (2006) 'On optimum choice of k in nearest neighbor classification', Computational Statistics & Data Analysis, Vol. 50, pp. 3113-3123. (Pubitemid 43729105)
12. Grossman, D. and Domingos, p. (2004) 'Learning Bayesian network classifiers by maximizing conditional likelihood', in Proceedings of the 21st International Conference on Machine Learning, Banff, Canada, 2004.
13. Guyon, I. and Elisseeff, A. (2003) 'An introduction to variable and feature selection', Journal of Machine Learning Research, Vol. 3, pp. 1157-1182.
14. John, G.H., Kohavi, R. and Pfleger, K. (1994) 'Irrelevant features and the subset selection problem', in Proceedings of the 11th International Conference on Machine Learning, Morgan Kaufmann, New Brunswick, NJ, pp. 121-129.
15. Kittler, J., Hatef, M., Duin, R.P. W. and Matas, J. (1998) 'On combining classifiers', IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, pp. 226-239. (Pubitemid 128741312)
16. Kohavi, R. and John, G.H. (1997) 'Wrappers for feature subset selection', Artificial Intelligence, Vol. 97, Nos. 1-2, pp. 273-324. (Pubitemid 127401107)
17. Kritikou, Y., Demestichas, P., Adamopoulou, E., Demestichas, K., Theologou, M. and Paradia, M. (2008) 'User profile modelling in the context of web-based learning management systems', Journal of Network and Computer Applications, Vol. 31, No. 4, pp. 603-627.
18. Langley, p. and Sage, S. (1994) 'Induction of selective Bayesian classifiers', in Proceedings of the 10th Annual Conference on Uncertainty in AI, pp. 399-406.
19. Liu, H. and Kešelj, V. (2007) 'Combined mining of web server logs and web contents for classifying user navigation patterns and predicting users future requests', Data & Knowledge Engineering, Vol. 61, No. 2, pp. 304-330. (Pubitemid 46413397)
20. Nikovski, D. and Kulev, V. (2006) 'Induction of compact decision trees for personalized recommendation', in Proceedings of the 2006 ACM Symposium on Applied Computing, pp. 575-581. (Pubitemid 44758848)
21. Ruiz, R., Riquelme, J.C. and Aguilar-Ruiz, J.S. (2006) 'Incremental wrapper-based gene selection from microarray data for cancer classification', Pattern Recognition, Vol. 39, No. 12, pp. 2383-2392. (Pubitemid 44344733)
22. Saeys, Y., Inza, I. and Larrañaga, p. (2007) 'A review of feature selection techniques in bioinformatics', Bioinformatics, Vol. 23, No. 19, pp. 2507-2517. (Pubitemid 350048351)
23. Sboner, A., Eccher, C., Blanzieri, E., Bauer, P., Cristofolini, M., Zumiani, G. and Forti, S. (2003) 'A multiple classifier system for early melanoma diagnosis', Artificial Intelligence in Medicine, Vol. 27, No. 1, pp. 29-44. (Pubitemid 35418289)
24. Selen, Y., Larsson, E.G., Stoica, p. and Sandgren, N. (2004) 'A model averaging approach for equalizing sparse communication channels', Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers 2004, Vol. 1, pp. 677-681. (Pubitemid 40930689)
25. Talavera, L. (2005) 'An evaluation of filter and wrapper methods for feature selection in categorical clustering', in 6th International Symposium on Intelligent Data Analysis, IDA05, pp. 440-451.
26. Wu, T-K., Huang, S-C. and Meng, Y-R. (2008) 'Evaluation of ANN and SVM classifiers as predictors to the diagnosis of students with learning disabilities', Expert Systems with Applications, Vol. 34, No. 3, pp. 1846-1856. (Pubitemid 350298207)