A novel feature selection method for text classification using association rules and clustering.
Navid SheydaeiMohamad SaraeeAzar ShahgholianPublished in: J. Inf. Sci. (2015)
Keyphrases
- text classification
- association rules
- clustering algorithm
- association rule mining
- unsupervised learning
- k means
- text mining
- data mining
- categorical data
- clustering method
- feature reduction
- knowledge discovery
- topic discovery
- bag of words
- data clustering
- rule sets
- rough sets
- labeled data
- naive bayes
- market basket data
- n gram
- feature selection
- document clustering
- formal concept analysis
- data mining tasks
- machine learning
- classification rules
- information theoretic
- text documents
- self organizing maps
- data points
- multi label
- spectral clustering
- hierarchical clustering
- frequent itemsets
- action recognition
- mining association rules
- itemsets
- training documents
- high dimensional
- distributional clustering