Terrorism Detection Model using Naive Bayes Classifier

Bayes and Naive Bayes Classifier

Bayes and Naive-Bayes Classifier

Pairwise Naive Bayes Classifier

Improving Naive Bayes Classifier Using Conditional Probabilities

Naive Bayes classifier is the simplest among Bayesian Network classifiers. It has shown to be very efficient on a variety of data classification problems. However, the strong assumption that all features are conditionally independent given the class is often violated on many real world applications. Therefore, improvement of the Naive Bayes classifier by alleviating the feature independence ass...

The Indifferent Naive Bayes Classifier

The Naive Bayes classifier is a simple and accurate classifier. This paper shows that assuming the Naive Bayes classifier model and applying Bayesian model averaging and the principle of indifference, an equally simple, more accurate and theoretically well founded classifier can be obtained. Introduction In this paper we use Bayesian model averaging and the principle of indifference to derive a...

DoS Attack Detection Based on Naive Bayes Classifier

Interconnected systems, such as Web servers, database servers are now under threats from network attackers. Denial-of-service (DoS) attack is one such means which severely degrades the availability of a victim, which can be a host, a router, an entire network. They impose intensive computation tasks to the victim by flooding it with huge amount of useless packets. The victim is forced out of se...