Classification Using Naïve Bayes- a Survey

Decision Tree Induction 17.1 Introduction 17.2 Attribute selection measure 17.3 Tree Pruning 17.4 Extracting Classification Rules from Decision Trees 17.5 Bayesian Classification 17.6 Bayes Theorem 17.7 Naïve Bayesian Classification 17.8 Bayesian Belief Networks

Naïve Bayes Classifier with Various Smoothing Techniques for Text Documents

Due to huge amount of increase in text data, its classification has become an important issue, now days. There are many good classification techniques discussed in this paper. Each classification method has its own assumptions, advantages and limitations. One of the most widely used classifier is Naïve Bayes which performs well with different data sets. Various Smoothing techniques are applied ...

Improving on the Naïve Bayes Document Classifier

The Naïve Bayes document classifier has been used in many document classification algorithms [1], but is only really useful on a small subset of documents due to it’s many shortcomings [2]. By augmenting the basic functionality of the simple Naïve Bayes classifier, the classification algorithm can be applied to a much wider range of documents. This paper investigates the advantages which can be...

TCXplain: Transparent Explanation of Naïve Bayes Classifications

Naïve Bayes (NB) classifiers are popular tools for predicting the labels of query instances, after being constructed from a training set. However, many training sets contain noisy data, so a user may be reluctant to blindly trust an NB classifier. TCXplain is a novel graphical explanation facility for NB classifiers. First, it transparently explains the classifier reasoning to foster user confi...

Is Naïve Bayes a Good Classifier for Document Classification?

Document classification is a growing interest in the research of text mining. Correctly identifying the documents into particular category is still presenting challenge because of large and vast amount of features in the dataset. In regards to the existing classifying approaches, Naïve Bayes is potentially good at serving as a document classification model due to its simplicity. The aim of this...