The Improvement of Naive Bayesian Classifier Based on the Strategy of Fuzzy Feature Selection

Abstract

Naive Bayesian classifier (NBC) is a simple and effective classification model. However, the fact that the assumption of independence is often violated in reality makes it perform poorly on some datasets. We give a summary of previous improvement methods of the NBC model. In our study, we attempt to improve the NBC model based on the strategy of the fuzzy… (More)
DOI: 10.1109/ISDA.2006.266

Topics

6 Figures and Tables

Cite this paper

@article{Zhang2006TheIO, title={The Improvement of Naive Bayesian Classifier Based on the Strategy of Fuzzy Feature Selection}, author={Xuefeng Zhang and Peng Liu and Jinjin Fan}, journal={Sixth International Conference on Intelligent Systems Design and Applications}, year={2006}, volume={1}, pages={377-384} }