A data analytic benchmarking methodology for discovering common causal structures that describe context-diverse heterogeneous groups.
Sergey SamoilenkoKweku-Muata Osei-BrysonPublished in: Expert Syst. Appl. (2019)
Keyphrases
- data sets
- data collection
- database
- data structure
- experimental conditions
- data analysis
- statistical analysis
- original data
- raw data
- data processing
- data sources
- knowledge discovery
- computer systems
- neural network
- heterogeneous data
- synthetic data
- data distribution
- sensor data
- heterogeneous sources
- complex data
- data objects
- decision trees
- training data
- experimental data
- privacy preserving
- high dimensional data
- contextual information
- prior knowledge
- end users