Provenance Guided Incremental Learning Under Evolving Concept Definitions

1. 1Identify concept drift using provenance information
2. 2Update model parameters to reflect changes in concept definitions
3. 3Apply incremental learning techniques to adapt to evolving data distributions
4. 4Monitor model performance and adjust provenance guidance as needed
5. 5Integrate provenance guided incremental learning into existing machine learning pipelines

Data scientists and machine learning engineers can benefit from this approach to improve model performance and adaptability in dynamic environments

💡 Provenance information can be used to guide incremental learning and improve model adaptability in dynamic environments

Adapt to changing concept definitions with provenance guided incremental learning #machinelearning #conceptdrift