An Aggregated Fuzzy Naive Bayes Data Classifier

Bayes and Naive Bayes Classifier

Bayes and Naive-Bayes Classifier

Learning Naive Bayes Classifier from Noisy Data

Classification is one of the major tasks in knowledge discovery and data mining. Naive Bayes classifier, in spite of its simplicity, has proven surprisingly effective in many practical applications. In real datasets, noise is inevitable, because of the imprecision of measurement or privacy preserving mechanisms. In this paper, we develop a new approach, LinEar-Equation-based noise-aWare bAYes c...

Extended Naive Bayes classifier for mixed data

Naive Bayes induction algorithm is very popular in classification field. Traditional method for dealing with numeric data is to discrete numeric attributes data into symbols. The difference of distinct discredited criteria has significant effect on performance. Moreover, several researches had recently employed the normal distribution to handle numeric data, but using only one value to estimate...

Pairwise Naive Bayes Classifier

The Indifferent Naive Bayes Classifier

The Naive Bayes classifier is a simple and accurate classifier. This paper shows that assuming the Naive Bayes classifier model and applying Bayesian model averaging and the principle of indifference, an equally simple, more accurate and theoretically well founded classifier can be obtained. Introduction In this paper we use Bayesian model averaging and the principle of indifference to derive a...