The New Jersey Data Reduction Report.
Daniel BarbaráWilliam DuMouchelChristos FaloutsosPeter J. HaasJoseph M. HellersteinYannis E. IoannidisH. V. JagadishTheodore JohnsonRaymond T. NgViswanath PoosalaKenneth A. RossKenneth C. SevcikPublished in: IEEE Data Eng. Bull. (1997)
Keyphrases
- data reduction
- data compression
- rough set theory
- preprocessing
- instance selection
- knowledge discovery
- representative subset
- classification rules
- data analysis
- classification accuracy
- information sharing
- feature selection
- model selection
- singular value decomposition
- high dimensionality
- expert systems
- clustering algorithm
- data mining
- data sets
- pattern recognition
- data quality
- computer vision
- high dimensional
- rough sets
- multiscale
- feature extraction
- machine learning