On acquiring classification knowledge from noisy data based on rough set.
Feng-Hsu WangPublished in: Expert Syst. Appl. (2005)
Keyphrases
- rough sets
- noisy data
- decision rules
- variable precision
- rough set theory
- rule extraction
- rule induction
- pattern recognition
- fuzzy sets
- knowledge structures
- attribute reduction
- naive bayes classifier
- feature selection
- data mining
- high dimensionality
- classification accuracy
- machine learning
- rough sets theory
- continuous valued attributes
- text classification
- knowledge acquisition
- data analysis
- decision table
- dominance relation
- decision trees
- knowledge base
- information entropy
- neural network
- incremental knowledge acquisition
- data reduction
- class labels
- missing data
- knowledge discovery
- training set
- expert systems
- training data
- missing values
- knowledge representation
- discernibility matrix
- condition attributes
- feature extraction