Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts.
Lang ZhaoYiqun ZhangYuzhu JiAn ZengFangqing GuXiaopeng LuoPublished in: DSAA (2022)
Keyphrases
- concept drift
- drifting concepts
- data sets
- data distribution
- supervised learning
- classification algorithm
- prior knowledge
- learning algorithm
- training data
- data streams
- concept drifting data streams
- sensor data
- attribute values
- data points
- data analysis
- historical data
- streaming data
- evolving data streams
- batch learning
- data stream classification
- training samples
- missing data
- active learning
- feature vectors
- data structure
- feature selection
- high dimensional data
- training set
- clustering algorithm
- machine learning