ECLogger: Cross-Project Catch-Block Logging Prediction Using Ensemble of Classifiers.
Sangeeta LalNeetu SardanaAshish SurekaPublished in: e Informatica Softw. Eng. J. (2017)
Keyphrases
- ensemble classifier
- ensemble learning
- classifier ensemble
- neural network ensemble
- prediction accuracy
- ensemble methods
- final classification
- multiple classifiers
- training set
- ensemble pruning
- majority voting
- training data
- ensemble classification
- concept drifting
- mining concept drifting data streams
- individual classifiers
- concept drift
- support vector
- imbalanced data
- random forest
- decision tree classifiers
- combining classifiers
- naive bayes
- classifier combination
- weighted voting
- one class support vector machines
- feature selection
- stream data
- decision trees
- support vector machine
- weak learners
- bias variance decomposition
- randomized trees
- training samples
- ensemble members
- accurate classifiers
- project management
- majority vote
- random forests
- feature set
- base classifiers
- concept drifting data streams
- trained classifiers
- class label noise
- neural network
- neural networks and support vector machines
- feature ranking
- multi layer perceptron
- linear classifiers
- case study
- roc curve
- prediction model