Addressing the class imbalance problem in Twitter spam detection using ensemble learning.
Shigang LiuYu WangJun ZhangChao ChenYang XiangPublished in: Comput. Secur. (2017)
Keyphrases
- spam detection
- ensemble learning
- class imbalance
- concept drift
- software defect prediction
- class distribution
- cost sensitive
- base classifiers
- minority class
- fraud detection
- generalization ability
- data streams
- active learning
- ensemble methods
- feature selection
- random forest
- social networks
- imbalanced data
- high dimensionality
- data distribution
- non stationary
- ensemble classifier
- classification algorithm
- multi class
- change detection
- unlabeled data
- data sets
- image classification
- knn
- base learners
- learning process
- information retrieval
- machine learning
- data mining