An Ensemble Learning Approach for Addressing the Class Imbalance Problem in Twitter Spam Detection.
Shigang LiuYu WangChao ChenYang XiangPublished in: ACISP (1) (2016)
Keyphrases
- spam detection
- ensemble learning
- class imbalance
- software defect prediction
- concept drift
- minority class
- class distribution
- feature selection
- cost sensitive
- generalization ability
- data streams
- ensemble methods
- social networks
- active learning
- fraud detection
- random forest
- base classifiers
- non stationary
- unlabeled data
- imbalanced data
- data distribution
- change detection
- high dimensionality
- neural network
- benchmark datasets
- ensemble classifier
- high dimensional
- pairwise
- classification algorithm
- class labels
- labeled data
- base learners
- text classification
- learning algorithm