Improving Model Performance Using Metric-Guided Data Selection Framework.
Paulina Toro IsazaYu DengMichael NiddAmar Prakash AzadLaura ShwartzPublished in: Big Data (2022)
Keyphrases
- data sets
- experimental data
- probabilistic model
- prior knowledge
- image data
- modeling framework
- simulation data
- empirical data
- formal model
- theoretical framework
- data analysis
- database
- high level
- bayesian framework
- computational model
- synthetic data
- statistical analysis
- probability distribution
- input data
- data sources
- data collection
- data quality
- data structure
- neural network
- statistical model
- conceptual framework
- selection algorithm
- statistical methods
- test data
- high quality
- spatial data
- selection criterion
- end users
- measured data
- mathematical framework
- learning models
- objective function
- xml documents
- similarity measure
- expert knowledge
- theoretical foundation
- conceptual model
- bayesian networks
- knowledge discovery
- data processing
- data mining techniques