Naive Bayes Classifier based Anomalous Propagation Echo Identification using Class Imbalanced Data

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

Improving Naive Bayes Classifier Using Conditional Probabilities

Naive Bayes classifier is the simplest among Bayesian Network classifiers. It has shown to be very efficient on a variety of data classification problems. However, the strong assumption that all features are conditionally independent given the class is often violated on many real world applications. Therefore, improvement of the Naive Bayes classifier by alleviating the feature independence ass...