Big Data Model Building Using Dimension Reduction and Sample Selection.
Lih-Yuan DengChing-Chi YangDale BowmanDennis K. J. LinHenry Horng-Shing LuPublished in: J. Comput. Graph. Stat. (2024)
Keyphrases
- dimension reduction
- big data
- sample selection
- active learning
- training data
- cloud computing
- data analysis
- selection strategy
- principal component analysis
- feature extraction
- linear discriminant analysis
- high dimensional data
- high dimensional
- singular value decomposition
- data processing
- feature selection
- data management
- big data analytics
- manifold learning
- low dimensional
- support vector machine
- business intelligence
- social media
- unsupervised learning
- data warehousing
- knowledge discovery
- high dimensionality
- neural network
- preprocessing
- cluster analysis
- data sets
- dimensionality reduction
- feature space
- supervised learning
- kernel function
- information processing
- object recognition
- learning environment
- image processing
- least squares