To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data.
Ralf DiestelkämperSeokki LeeMelanie HerschelBoris GlavicPublished in: SIGMOD Conference (2021)
Keyphrases
- training data
- data sets
- missing data
- data collection
- data analysis
- small number
- data processing
- raw data
- sensor data
- database
- data structure
- image data
- computer systems
- high dimensional data
- synthetic data
- high quality
- experimental data
- incomplete data
- learning algorithm
- input data
- data points
- data distribution
- neural network
- original data
- data quality