We mine a large taxonomic dataset for subject classification rules. We then use these rules to perform an extensive analysis of the subject matter of the largest general purpose in...
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...