Research on Spam Filtering System Based on Na(?)ve Bayes Algorithm;

The Research on Discretization Oriented to Na(?)ve Bayes Algorithm;

This paper implements and take affect a kind of text classification system based on feature selection of improvement mutual information and supporting Na(?)ve Bayes,the algorithm of improved mutual information intensify the mutual information of negative, offset the deficiency of improved mutual information arithmetic and improve elasifieation precision.

New multi-relational naive Bayesian classifier;

The Application of Naive Bayes Classification Model in Instructing Students in Choosing Professional Elective Course;

Naive Bayes Classification Based on Genetic Algorithms;

An Improving Text Categorization Method of Nave Bayes;

Nave Bayes Approaches for Anomaly Detection;

Improved Nave Bayesian spam filtering algorithm

This paper proposes a vehicle classifying method based on the Naive Bayesian classifier theory.

In this paper, we first introduced the vector space model (VSM) and the method of the feature vector extraction, Then deduced and analyzed the Naive Bayesian algorithm that on the supposition of "the characteristic to be mutually independent".

Naive Bayesian is an important one among many web document classification algorithms.

An user knowledge based na?ve bayes classifier was proposed in order to conquer the problem that most of the E-mail is unstructured and need user s decoding.