A Quality-driven Machine Learning Governance Architecture for Self-adaptive Edge Clouds.
Claus PahlShelernaz AzimiHamid R. BarzegarNabil El IoiniPublished in: CLOSER (2022)
Keyphrases
- machine learning
- high quality
- information systems
- management system
- machine learning approaches
- learning tasks
- data driven
- decision trees
- inductive learning
- information extraction
- machine learning methods
- machine learning algorithms
- knowledge acquisition
- learning problems
- edge detection
- e government
- quality measures
- active learning
- feature selection
- computer vision
- artificial intelligence
- edge information
- higher quality
- inductive logic programming
- quality assessment
- network architecture
- computational intelligence
- cloud computing
- text classification
- real time
- text mining
- knowledge representation
- pattern recognition
- image processing
- information retrieval
- data mining
- data sets