saeid Bagheri Golzar - PhD student, Young Researchers and Elite Club, Qom Branch, Islamic Azad University, Qom, Iran, saeid.bagherigolzar @gmail.com
Maryam Habibi - Young Researchers and Elite Club, Roudehen Branch, Islamic Azad University, Roudehen, Iran
Hosein Ebrahimpour Koomle - Faculty member, Kashan University, Kashan, Iran
Milad Javidfard - M.s student, Tabriz University, Tabriz, Iran

The data classification is one of the main applications of data mining. Examples of each are owned by a specific class, a vector of features. We aim to classify, it is legal to create a new sample that shows only the features that define the new sample to assign a class. A simple p-dimensional multivariate Bayesian classification problem reduces to estimating the p is a variable.. Estimating a variable, simple, and familiar, and the small size of the training set to obtain accurate estimates of the distributions Multivariate needs.In this paper we will briefly introduce the Bayesian theory and then with the introduction of Naïve Bayes classifier using data mining tools Orange on a particular dataset (Adult very similar to our own database for information on the site is classified), Compare analysis of the methods of classification with seven other way will do.

Comparative analysis, data mining, Naive Bayes classifier, Orange