Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering.
Tung-Kuang WuShian-Chang HuangYing-Ru MengYu-Chi LinPublished in: RSKT (2009)
Keyphrases
- rough set theory
- rule generation
- rough sets
- rule extraction
- rule sets
- decision table
- decision rules
- rule induction
- attribute reduction
- approximate reasoning
- continuous valued attributes
- attribute set
- clustering algorithm
- fuzzy set theory
- knowledge reduction
- information entropy
- granular computing
- k means
- rough fuzzy
- data reduction
- knowledge discovery
- association rules
- data analysis
- tool for data mining
- fuzzy clustering
- cluster analysis
- classification rules
- fault diagnosis
- concept lattice
- fuzzy sets
- training samples
- data sets
- equivalence relation
- categorical data
- feature space
- pattern recognition
- image processing
- decision making
- condition attributes
- artificial intelligence
- variable precision rough set model
- neural network