Research on Classification of Scientific and Technological Documents Based on Naive Bayes.
Hong ZhangHanshuo WeiYeye TangQiumei PuPublished in: ICMLC (2019)
Keyphrases
- naive bayes
- classification accuracy
- text classifiers
- decision trees
- text classification
- classification algorithm
- naive bayes classifier
- document classification
- uci datasets
- text categorization
- probabilistic classifiers
- logistic regression
- naive bayesian classifier
- uci data sets
- augmented naive bayes
- feature selection
- bayesian classifier
- probability estimation
- cost sensitive
- class probabilities
- naive bayes models
- text documents
- naive bayes classification
- training data
- bayesian network classifiers
- information retrieval
- support vector
- feature space
- combining classifiers
- training set
- bayesian networks
- text mining
- highly skewed
- labeled data
- supervised learning
- conditional independence assumption
- test instances
- information retrieval systems
- term frequency
- base classifiers
- machine learning
- tree augmented naive bayes
- averaged one dependence estimators
- probability estimates
- active learning
- rule learning
- model selection
- k nearest neighbor
- ensemble methods
- document clustering
- unsupervised learning