A comparative analysis of discretization methods for Medical Datamining with Naive Bayesian classifier

Abstract

Naive Bayes classifier has gained wide popularity as a probability-based classification method despite its assumption that attributes are conditionally mutually independent given the class label. This paper makes a study into discretization techniques to improve the classification accuracy of Naive Bayes with respect to medical datasets. Our experimental… (More)
DOI: 10.1109/ICIT.2006.5

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@article{Abraham2006ACA, title={A comparative analysis of discretization methods for Medical Datamining with Naive Bayesian classifier}, author={Ranjit Abraham and Jay B. Simha and S. Sitharama Iyengar}, journal={9th International Conference on Information Technology (ICIT'06)}, year={2006}, pages={235-236} }