Data Reduction and Regression Using Principal Component Analysis in Qualitative Spatial Reasoning and Health Informatics.
Chaman L. SabharwalBushra AnjumPublished in: Polibits (2016)
Keyphrases
- data reduction
- health informatics
- qualitative spatial reasoning
- principal component analysis
- data mining
- model selection
- spatial reasoning
- singular value decomposition
- dimensionality reduction
- data compression
- health care
- big data
- electronic health records
- data analysis
- spatial relations
- feature extraction
- information technology
- feature space
- knowledge discovery
- preprocessing
- classification rules
- path consistency
- low dimensional
- face recognition
- feature selection
- cardinal directions
- high dimensionality
- classification accuracy
- formal theory
- spatial information
- rough set theory
- data quality
- computer vision
- machine learning
- support vector
- databases
- information retrieval
- rough sets
- expert systems
- decision trees