SAT-MOD: moderate itemset fittest for text classification.
Jianlin FengHuijun LiuJing ZouPublished in: WWW (Special interest tracks and posters) (2005)
Keyphrases
- text classification
- itemsets
- frequent itemsets
- text categorization
- sat solvers
- bag of words
- satisfiability problem
- feature selection
- mining algorithm
- text data
- association rule mining
- text documents
- sat problem
- machine learning
- text mining
- naive bayes
- itemset mining
- labeled data
- association rules
- propositional satisfiability
- n gram
- sentiment analysis
- boolean satisfiability
- search algorithm
- semantic features
- sat solving
- sat instances
- data cleaning
- frequent pattern mining
- multi label
- text classifiers
- max sat
- data streams
- stochastic local search
- data structure
- phase transition
- knn
- stochastic local search algorithms
- data analysis