Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN.
Jing HuLongwei ZhouXiaolong ZhangNansheng ChenPublished in: ICIC (2) (2019)
Keyphrases
- naive bayes
- decision trees
- classification accuracy
- text classification
- logistic regression
- prediction accuracy
- combining classifiers
- naive bayes classifier
- uci data sets
- bayesian networks
- uci datasets
- training data
- text categorization
- cost sensitive
- classification algorithm
- probability estimation
- locally weighted
- feature selection
- augmented naive bayes
- bayesian network classifiers
- text classifiers
- maximum likelihood
- independence assumption
- naive bayesian classifier
- averaged one dependence estimators
- bayesian classifier
- base classifiers
- naive bayes classification
- clustering method
- k means
- machine learning
- conditional independence assumption
- support vector machine
- probabilistic classifiers
- data sets