Abstract: This research work focuses on analyzing the performance of a proposed random forest (RF) method with that of Gaussian Naive Bayes in predicting software problems. The database utilized in ...

Abstract: Aim: This research work focuses on analyzing the performance of a proposed random forest method with that of Gaussian Naive Bayes in predicting software problems. Materials and Methods: The ...

ABSTRACT: Previously, rapid disease detection and prevention was difficult. This is because disease modeling and prediction was dependent on a manually obtained dataset that includes use of survey.

"Naive Bayes classifiers are a type of machine learning algorithm based applying [bayes theorem](https://en.wikipedia.org/wiki/Bayes%27_theorem) with strong (naive ...

In recent times among the multitude of attacks present in network system, DDoS attacks have emerged to be the attacks with the most devastating effects. The main objective of this paper is to propose ...

Parts of Speech Tagging and Optical Character Recognition using Naive Bayes and Hidden Markov Model(HMM) with Forward-Backward Variable Elimination Algorithm and Viterbi Algorithm ...

Given a mix of queued read and write requests, since write requests generally can be serviced quickly under eager-writing, one naive strategy is to simply schedule all the writes first. (To prevent ...