Knowledge graph embeddings for dealing with concept drift in machine learning.
Jiaoyan ChenFreddy LécuéJeff Z. PanShumin DengHuajun ChenPublished in: J. Web Semant. (2021)
Keyphrases
- concept drift
- machine learning
- knowledge acquisition
- drifting concepts
- graph classification
- knowledge base
- knowledge representation
- streaming data
- non stationary
- knowledge discovery
- data streams
- domain knowledge
- data stream classification
- incremental clustering
- drift detection
- active learning
- prior knowledge
- pattern recognition
- neural network
- natural language processing
- learning algorithm
- semi supervised learning
- classification algorithm
- machine learning methods
- data stream mining
- small number
- learning tasks
- change detection
- image analysis
- data structure
- similarity measure
- image processing
- computer vision
- data mining