A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement

@article{Ting2003ASO,
  title={A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement},
  author={Kai Ming Ting and Zijian Zheng},
  journal={Computational Intelligence},
  year={2003},
  volume={19},
  pages={186-200}
}
This article investigates boosting naive Bayesian classification. It first shows that boosting does not improve the accuracy of the naive Bayesian classifier as much as we expected in a set of natural domains. By analyzing the reason for boosting’s weakness, we propose to introduce tree structures into naive Bayesian classification to improve the performance of boosting when working with naive Bayesian classification. The experimental results show that although introducing tree structures into… CONTINUE READING