Handling of incomplete data sets using ICA and SOM in data mining.
Hongyi PengSiming ZhuPublished in: Neural Comput. Appl. (2007)
Keyphrases
- data mining
- incomplete data sets
- independent component analysis
- incomplete data
- missing values
- self organizing maps
- cluster analysis
- knowledge discovery
- data mining algorithms
- outlier detection
- face recognition
- data mining applications
- feature extraction
- k means
- text mining
- topology preserving
- data mining techniques
- signal processing
- data analysis
- data mining tasks
- blind source separation
- topology preservation
- kohonen self organizing map
- machine learning
- real world
- missing data
- decision support
- rough sets
- association rules
- preprocessing
- pattern mining
- business intelligence
- pattern discovery
- feature vectors
- web intelligence
- high dimensional
- independent components
- pattern recognition
- bayesian networks
- training data