Rough-FS: a feature selection method for classification of gene expression data set using rough set.
Rashmi Rekha SahooSmita Prava MishraDebahuti MishraPublished in: CUBE (2012)
Keyphrases
- rough sets
- gene expression
- decision rules
- gene expression data
- rough set theory
- microarray data
- data sets
- microarray
- rough fuzzy
- gene expression data sets
- gene expression profiles
- feature selection
- colon cancer
- pattern recognition
- microarray datasets
- rule extraction
- rough sets theory
- fuzzy sets
- continuous valued attributes
- dna microarray
- decision trees
- data mining
- information entropy
- classification accuracy
- data analysis
- training set
- rule sets
- fuzzy logic
- feature extraction
- dominance relation
- attribute reduction
- binding sites
- data preprocessing
- gene selection
- approximation spaces
- classification rules
- classification algorithm
- gene expression patterns
- text classification
- support vector machine
- feature space
- machine learning
- real world
- cancer classification
- set pair analysis
- high dimensionality
- high dimensional data
- artificial intelligence
- feature ranking
- cluster analysis
- high throughput
- support vector machine svm
- co occurrence
- image processing
- neural network