Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning.
Teo SusnjakPaula MaddiganPublished in: CoRR (2022)
Keyphrases
- concept drift
- machine learning
- data streams
- streaming data
- drifting concepts
- drift detection
- classification algorithm
- change detection
- incremental clustering
- data stream mining
- data stream classification
- data distribution
- non stationary
- learning algorithm
- evolving data streams
- pattern recognition
- inductive logic programming
- data mining
- information extraction
- neural network
- decision trees
- concept descriptions
- knowledge acquisition
- batch learning
- natural language processing
- knowledge discovery
- machine learning methods
- knowledge representation
- learning tasks
- reinforcement learning
- feature selection
- computer vision
- text mining