Short-term traffic volume prediction by ensemble learning in concept drifting environments.
Jianhua XiaoZhu XiaoDong WangJing BaiVincent HavyarimanaFanzi ZengPublished in: Knowl. Based Syst. (2019)
Keyphrases
- short term
- ensemble learning
- concept drifting
- long term
- stream data
- streaming data
- concept drift
- data streams
- noisy data
- ensemble classifier
- generalization ability
- network traffic
- sliding window
- random forest
- ensemble methods
- prediction model
- historical data
- prediction accuracy
- sensor data
- artificial neural networks
- base classifiers
- machine learning methods
- data sets
- benchmark datasets
- optimization algorithm
- sensor networks
- learning algorithm
- genetic algorithm
- machine learning