A Comparative Study of Techniques for Data Classification based on Naïve Bayes

The Naïve Bayes model is used for text classification and the data is considered by using the Naïve Bayes classifier and also the probabilistic based model. To define the discrete variable we use the multinomial distribution and for the numeric variable we use the Gaussian distribution. In this research, graphical structure has been considered due to properties of Naïve Bayes classifier such as flexibility, energy efficient and high performance. The main idea of classification has been introducedthat is the basic techniques for data classification which includes Naive Bayesian classifier.