An Approach to Spam Detection by Naive Bayes Ensemble Based on Decision Induction.
Zhen YangXiangfei NieWeiran XuJun GuoPublished in: ISDA (2) (2006)
Keyphrases
- naive bayes
- spam detection
- base classifiers
- decision trees
- training data
- classification accuracy
- combining classifiers
- text classification
- feature selection
- uci data sets
- logistic regression
- cost sensitive
- text categorization
- naive bayes classifier
- classification algorithm
- spam filtering
- ensemble methods
- decision rules
- random forest
- bayesian classifier
- fraud detection
- bayesian networks
- augmented naive bayes
- training set
- conditional independence assumption
- averaged one dependence estimators
- ensemble classifier
- bayesian network classifiers
- text classifiers
- classifier ensemble
- machine learning
- neural network
- text mining
- web graph
- multi class
- active learning
- independence assumption
- feature space
- data sets