International Journal of Soft Computing

Year: 2016
Volume: 11
Issue: 4
Page No. 255 - 269

Improving Classification Performance by Using Feature Selection with Resampling

Authors : Raya Ismail, Sherihan Abuelenin and Ahmed Aboelfetouh

References

Bermejo, P., L. de la Ossa, J.A. Gamez and J.M. Puerta, 2012. Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking. Knowledge-Based Syst., 25: 35-44.
CrossRef  |  Direct Link  |  

Bidgoli, A.M. and M.N. Parsa, 2012. A hybrid feature selection by resampling, chi-squared and consistency evaluation techniques. World Acad. Sci. Eng. Technol., 68: 276-285.

Chandrashekar, G. and F. Sahin, 2014. A survey on feature selection methods. Comput. Electr. Eng., 40: 16-28.
CrossRef  |  Direct Link  |  

Liu, H., H. Motoda and L. Yu, 2004. A selective sampling approach to active feature selection. Artif. Intell., 159: 49-74.
CrossRef  |  Direct Link  |  

Naseriparsa, M., A.M. Bidgoli and T. Varaee, 2014. A hybrid feature selection method to improve performance of a group of classification algorithms. Comput. Sci., 69: 28-36.
CrossRef  |  Direct Link  |  

Patil, T.R. and S.S. Sherekar, 2013. Performance analysis of naive bayes and J48 classification algorithm for data classification. Int. J. Comput. Sci. Appl., 6: 256-261.
Direct Link  |  

Peng, Y., Z. Wu and J. Jiang, 2010. A novel feature selection approach for biomedical data classification. J. Biomed. Inf., 43: 15-23.
CrossRef  |  Direct Link  |  

Sasikala, S., A.S.A. Balamurugan and S. Geetha, 2014. Multi filtration feature selection (MFFS) to improve discriminatory ability in clinical data set. Appl. Comput. Inf., 12: 117-127.
CrossRef  |  Direct Link  |  

Srimani, P.K. and M.S. Koti, 2013. Medical diagnosis using ensemble classifiers-a novel machine-learning approach. J. Adv. Comput., 1: 9-27.
CrossRef  |  Direct Link  |  

Vanaja, S. and K.R. Kumar, 2014. Analysis of feature selection algorithms on classification: A survey. Int. J. Comput. Appl., Vol. 96,

Way, T.W., B. Sahiner, L.M. Hadjiiski and H.P. Chan, 2010. Effect of finite sample size on feature selection and classification: A simulation study. Med. Phys., 37: 907-920.
Direct Link  |  

Win, M.T.M. and K.T. Khaing, 2014. Performance evaluation of different classifiers for detection of attacks in unauthorized accesses. Int. J. Sci. Eng. Technol. Res., 3: 2890-2894.
Direct Link  |  

Xie, J. and C. Wang, 2011. Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases. Ex. Syst. Appl., 38: 5809-5815.
CrossRef  |  Direct Link  |  

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