BACKGROUND In the last decade the standard Naive Bayes (SNB) algorithm has been widely employed in multi-class classification problems in cheminformatics. This popularity is mainly due to the fact that the algorithm is simple to implement and in many cases yields respectable classification results. Using clever heuristic arguments "anchored" by insightful cheminformatics knowledge, Xia et al. h...

Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorithms have been proposed to improve naive Bayes, among which tree augmented naive Bayes (TAN) [3] achieves a significant improvement in term of classification accuracy, while maintaining efficiency and model simplicity. I...

Software bug classification is a precondition for bug fixation and it plays a vital role in software maintenance. It is found that bug fixation often takes long due to the distribution of misclassified or non-classified bugs by the triager among the developers. In this paper, we propose an adaptive bug classification approach on CVE dataset that involves two Bayesian classifiers such as Naive B...