A Case Study of Applying Boosting Naive Bayes to Claim Fraud Diagnosis.

Stijn Viaene Richard A. Derrig Guido Dedene

Published in: IEEE Trans. Knowl. Data Eng. (2004)

Keyphrases

naive bayes
base classifiers
decision trees
cost sensitive
boosted decision trees
feature selection
classification accuracy
text classification
logistic regression
fraud detection
text categorization
probability estimation

training data
bayesian networks
combining classifiers
uci data sets
bayesian classifiers
naive bayes classifier
classification algorithm
test instances
naive bayesian classifier
naive bayes classification
averaged one dependence estimators

naive bayesian classification
bayesian classifier
uci datasets
decision tree learning algorithms
ensemble learning
machine learning
ensemble methods
bayesian network classifiers
random forest
augmented naive bayes
text classifiers

locally weighted
learning algorithm
independence assumption
probabilistic classifiers
training set
multi class
information retrieval
association rules
prediction accuracy
data mining
class distribution