Distributed Learning with Data Reduction.
Ireneusz CzarnowskiPublished in: Trans. Comput. Collect. Intell. (2011)
Keyphrases
- distributed learning
- data reduction
- data compression
- knowledge discovery
- preprocessing
- instance selection
- data analysis
- collaborative learning
- feature selection
- representative subset
- rough set theory
- classification accuracy
- data mining
- dimensionality reduction
- classification rules
- singular value decomposition
- knowledge integration
- model selection
- high dimensionality
- clustering algorithm
- feature space
- feature extraction
- data quality
- learning algorithm
- databases
- distributed learning environments
- data sets