Classification of Web Site by Naive-Bayes and Convolutional Neural Networks.
Xueyan LiuRyuya UdaPublished in: IMCOM (2018)
Keyphrases
- naive bayes
- classification accuracy
- decision trees
- naive bayes classifier
- text classification
- classification algorithm
- probabilistic classifiers
- website
- uci datasets
- cost sensitive
- naive bayesian classifier
- bayesian classifier
- feature selection
- logistic regression
- convolutional neural networks
- uci data sets
- augmented naive bayes
- text classifiers
- text categorization
- training data
- naive bayes classification
- probability estimation
- combining classifiers
- probability estimates
- class probabilities
- bayesian network classifiers
- machine learning
- naive bayes models
- test instances
- averaged one dependence estimators
- kernel density estimators
- support vector
- document classification
- bayesian classifiers
- feature vectors
- training set
- bayesian networks
- base classifiers
- machine learning algorithms
- text mining
- feature extraction
- conditional independence assumption
- data mining
- tree augmented naive bayes
- attribute dependencies
- data analysis
- support vector machine
- k nearest neighbor