An ensemble method for detecting shilling attacks based on ordered item sequences.
Fuzhi ZhangHonghong ChenPublished in: Secur. Commun. Networks (2016)
Keyphrases
- ensemble methods
- prediction accuracy
- random forests
- benchmark datasets
- machine learning methods
- decision trees
- ensemble learning
- base classifiers
- generalization ability
- multilabel classification
- drifting concepts
- random forest
- feature subset
- ensemble classifier
- subspace methods
- rotation forest
- genetic algorithm
- classification accuracy
- base learners
- classifier ensemble
- data sparsity