@article{(Open Science Index):https://publications.waset.org/pdf/1314,
	  title     = {Improving Classification Accuracy with Discretization on Datasets Including Continuous Valued Features},
	  author    = {Mehmet Hacibeyoglu and  Ahmet Arslan and  Sirzat Kahramanli},
	  country	= {},
	  institution	= {},
	  abstract     = {This study analyzes the effect of discretization on
classification of datasets including continuous valued features. Six
datasets from UCI which containing continuous valued features are
discretized with entropy-based discretization method. The
performance improvement between the dataset with original features
and the dataset with discretized features is compared with k-nearest
neighbors, Naive Bayes, C4.5 and CN2 data mining classification
algorithms. As the result the classification accuracies of the six
datasets are improved averagely by 1.71% to 12.31%.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {6},
	  year      = {2011},
	  pages     = {623 - 626},
	  ee        = {https://publications.waset.org/pdf/1314},
	  url   	= {https://publications.waset.org/vol/54},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 54, 2011},
	}