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Performance analysis of Naïve Bayes, PART and SMO for classification of page interest in web usage mining
2015 Edition, May 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

User interaction with web sites generates a large amount of web access data stored in the web access logs. Those data can be used for e-commerce to conduct an evaluation of possessed website pages as one of the efforts to understand the...

A novel Naive Bayes model: Packaged Hidden Naive Bayes
2011 Edition, Volume 2, August 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Naive Bayes classifier has good performance on many datasets, however, the performance is very poor on some datasets which have a strong correlation between attributes due to the conditional independence assumption is not always true in the real world. In...

Naïve Bayes Text Classifier
2007 Edition, November 1, 2007 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Text classification algorithms, such SVM, and Naive Bayes, have been developed to build up search engines and construct spam email filters. As a simple yet powerful sample of Bayesian theorem, naive Bayes shows advantages in text...

Probabilistic Fuzzy Naive Bayes
2015 Edition, November 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Bayesian networks are probabilistic graphical models capable of modeling statistical uncertainty and are widely applied in many classification problems. Specifically, Naive Bayesian networks are largely used due to their simple, naive structure, while still...

Evolving Extended Naive Bayes Classifiers
2006 Edition, December 1, 2006 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Naive Bayes classifiers are a very simple, but often effective tool for classification problems, although they are based on independence assumptions that do not hold in most cases. Extended naive Bayes classifiers also rely on independence...

Learning weighted naive Bayes with accurate ranking
2004 Edition, January 1, 2004 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Naive Bayes is one of most effective classification algorithms. In many applications, however, a ranking of examples are more desirable than just classification. How to extend naive Bayes to improve its ranking performance is an...

Less naive Bayes spai detection
2007 Edition, January 1, 2007 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We consider a binary classification problem with a feature vector of high dimensionality. Spam mail filters are a popular example hereof. A naive Bayes filter assumes conditional independence of the feature vector components. We use the context tree weighting...

Sentiment Analysis using Naive Bayes and Complement Naive Bayes Classifier Algorithms on Hadoop Framework
2018 Edition, October 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Sentiment analysis is a popular topic of scientific and market research areas in the last years. Sentiments can be in form of attitudes, emotions and opinions. Sentiment analysis focuses on texts such as reviews and attitudes about a...

Naive Bayes Super-Resolution Forest
2015 Edition, December 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a fast, high-performance method for super resolution with external learning. The first contribution leading to the excellent performance is a bimodal tree for clustering, which successfully exploits the antipodal invariance of the...

Tree-augmented naive Bayes ensembles
2004 Edition, Volume 3, January 1, 2004 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Ensemble learning is an effective method of improving classification accuracy of the classifier. TAN, tree-augmented naive Bayes, is a tree-like Bayesian network. The standard TAN learning algorithm is stable, and it is difficult to improve its accuracy by...

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