Improving Data Quality for Regression Test Selection by Reducing Annotation Noise.
Khaled Walid Al-SabbaghMiroslaw StaronRegina HebigWilhelm MedingPublished in: SEAA (2020)
Keyphrases
- data quality
- class noise
- poor quality
- data warehouse
- quality management
- data cleaning
- data cleansing
- data transformation
- quality assessment
- active learning
- missing data
- data integration
- noise reduction
- linear regression
- privacy preservation
- natural resources
- cell suppression
- noise model
- information loss
- noise level
- signal to noise ratio
- noisy data
- gaussian noise
- privacy guarantees
- regression model
- denoising
- data confidentiality
- training data