Boosting Naive Bayes for Claim Fraud Diagnosis.
Stijn ViaeneRichard A. DerrigGuido DedenePublished in: DaWaK (2002)
Keyphrases
- naive bayes
- base classifiers
- cost sensitive
- fraud detection
- boosted decision trees
- decision trees
- feature selection
- classification accuracy
- text categorization
- bayesian classifiers
- logistic regression
- naive bayesian classification
- text classification
- bayesian networks
- training data
- classification algorithm
- naive bayes classifier
- uci datasets
- probability estimation
- test instances
- naive bayesian classifier
- ensemble learning
- combining classifiers
- bayesian network classifiers
- ensemble methods
- bayesian classifier
- uci data sets
- random forest
- decision tree learning algorithms
- locally weighted
- classification error
- conditional independence assumption
- class distribution
- independence assumption
- multi class
- naive bayes classification
- augmented naive bayes
- learning algorithm
- data sets
- data analysis
- feature extraction