Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles.
Sheeba SamuelFrank LöfflerBirgitta König-RiesPublished in: IPAW (2021)
Keyphrases
- machine learning
- data analysis
- data sets
- data quality
- raw data
- missing data
- synthetic data
- database
- small number
- data collection
- data sources
- data structure
- high quality
- big data
- data processing
- machine learning algorithms
- complex data
- databases
- artificial intelligence
- statistical methods
- missing values
- spatial data
- training data
- active learning
- model selection
- computer systems
- supervised learning
- relational databases
- information extraction
- image data
- prior knowledge