An ensemble-based online learning algorithm for streaming data.
Tien Thanh NguyenThi Thu Thuy NguyenXuan Cuong PhamAlan Wee-Chung LiewJames C. BezdekPublished in: CoRR (2017)
Keyphrases
- streaming data
- learning algorithm
- data streams
- concept drift
- concept drifting data streams
- sliding window
- training data
- data distribution
- concept drifting
- evolving data streams
- data stream mining
- mining data streams
- machine learning algorithms
- massive data streams
- ensemble learning
- anomaly detection
- generalization ability
- supervised learning
- ensemble classifier
- stream mining
- neural network
- active learning
- ensemble classification
- stream data
- classifier ensemble
- data sets
- machine learning
- reinforcement learning
- classification algorithm
- training samples
- data model
- non stationary
- data structure
- image registration
- k nearest neighbor