Sensitivity of results to different data quality meta-data criteria in the sample selection of projects from the ISBSG dataset.
Marta Fernández-DiegoMónica Martínez-GómezJosé-María Torralba-MartínezPublished in: PROMISE (2010)
Keyphrases
- data quality
- sample selection
- data warehouse
- metadata
- active learning
- data cleansing
- data transformation
- data cleaning
- quality management
- quality assessment
- database
- training data
- selection strategy
- support vector machine
- project management
- data privacy
- svm classification
- third party
- class labels
- reinforcement learning
- similarity measure
- real world
- data sets