An expert system is a type of artificial intelligence application that used to tackle complex problems require specialized knowledge. Expert systems can be in variety disciplines, including healthcare, finance, and manufacturing. The aim this study was apply the Nave Bayes approach website-based ear illness diagnostic determine its accuracy an for diagnosing disease. naive implemented research ...

<p>A massive number of documents on crime has been handled by police departments worldwide and today's criminals are becoming technologically elegant. One obstacle faced law enforcement is the complexity processing voluminous data. Approximately 439 crimes have registered in sanchez mira municipality past seven years. Police officers no clear view as to pattern municipality, peak hours, m...

Penyakit kardiovaskuler adalah penyakit yang diakibatkan penyempitan atau penyumbatan pembuluh darah di jantung ini disebabkan gangguan fungsi dan darah. Sistem kardiovaskular terdiri dari darahnya. Penelitian bertujuan melakukan klasifikasi untuk memprediksi suatu pola. Pada penelitian akan menggunakan metode support vector machine naïve bayes dengan latih percentage split k-fold cross validat...

In this paper, we propose a semantic naïve Bayes classifier (SNBC) to improve the conventional naïve Bayes classifier (NBC) by incorporating “document-level” semantic information for document classification (DC). To capture the semantic information from each document, we develop semantic feature extraction and modeling algorithms. For semantic feature extraction, we first apply a log-Bilinear d...

Website Fingerprinting (WF) attacks raise major concerns about users’ privacy. They employ Machine Learning (ML) techniques to allow a local passive adversary to uncover the Web browsing behavior of a user, even if she browses through an encrypted tunnel (e.g. Tor, VPN). Numerous defenses have been proposed in the past; however, it is typically difficult to have formal guarantees on their secur...

Personalized recommender systems can be classified into three main categories: content-based, mostly used to make suggestions depending on the text of the web documents, collaborative filtering, that use ratings from many users to suggest a document or an action to a given user and hybrid solutions. In the collaborative filtering task we can find algorithms such as the naı̈ve Bayes classifier or...

This work implements an enhanced Bayesian classifier with better performance as compared to the ordinary naïve Bayes classifier when used with domains and datasets of varying characteristics. Text classification is an active and on-going research field of Artificial Intelligence (AI). Text classification is defined as the task of learning methods for categorising collections of electronic text ...