id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_capyudeotzhcdosyorvr2om4ou	Zhihua Li	A redundancy-removing feature selection algorithm for nominal data	2015	17	.pdf	application/pdf	7078	826	32	mutual information-based nominal-data feature selection method is relatively In this paper, a nominal-data feature selection method based on relevance and the redundancy globally, the new feature selection method can evaluate Keywords Nominal data, Feature selection, Redundancy-removing, Mutual information How to cite this article Li and Gu (2015), A redundancy-removing feature selection algorithm for nominal data. In this paper, we also use MI, which addresses taking the MI as a matrix of relevance and redundancy among the features, to study the nominal-data feature selection methods. classification accuracy of the selected feature subset using different employed classifiers; From Table 3, for the decision tree classifier, the classification accuracy of the RedremovingMRLR algorithm on the different basic subsets is the best among the three compared Mutual information-based feature selection algorithm for nominal data, A redundancy-removing feature selection algorithm for nominal data A redundancy-removing feature selection algorithm for nominal data	./cache/work_capyudeotzhcdosyorvr2om4ou.pdf	./txt/work_capyudeotzhcdosyorvr2om4ou.txt