Data Reduction for Instance-Based Learning Using Entropy-Based Partitioning.
Seung-Hyun SonJae-Yearn KimPublished in: ICCSA (3) (2006)
Keyphrases
- data reduction
- instance based learning
- instance selection
- data compression
- preprocessing
- rule induction
- classification rules
- classification accuracy
- data analysis
- rough set theory
- feature selection
- knowledge discovery
- data mining
- nearest neighbor
- model selection
- singular value decomposition
- compression algorithm
- machine learning
- high dimensionality
- pattern recognition
- information retrieval
- data sets