Associative classification (AC) is a promising data mining approach that integrates
classification and association rule discovery to build classification models (classifiers). In the …

Associative classification mining is a promising approach in data mining that utilizes the
association rule discovery techniques to construct classification systems, also known as …

Associative classification (AC) is a data mining approach that combines association rule and
classification to build classification models (classifiers). AC has attracted a significant …

Associative classification (AC) is a data mining approach that uses association rule
discovery methods to build classification systems (classifiers). Several research studies …

Associative classification is a branch in data mining that employs association rule discovery
methods in classification problems. In this paper, we introduce a novel data mining method …

applying the association rule into classification can improve the accuracy and obtain some
valuable rules and information that cannot be captured by other classification approaches …

A novel algorithm, CorClass, that integrates association rule mining with classification, is
presented. It first discovers all correlated association rules (adapting a technique by …

Associative classification has aroused significant research attention in recent years due to its
advantage in rule forms with satisfactory accuracy. However, the rules in associative …

Associative classification (AC) is an integration between association rules and classification
tasks that aim to predict unseen samples. Several studies indicate that the AC algorithms …

Associative classification (AC) is an important data mining approach which effectively
integrates association rule mining and classification. Prediction of test data is a fundamental …