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

Utilising association rule discovery to learn classifiers in data mining is known as
Associative Classification (AC). In the last decade, AC algorithms proved to be effective in …

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 uses association rule
discovery methods to build classification systems (classifiers). Several research studies …

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 …

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 …

Associative classification (AC) is a mining technique that integrates classification and
association rule mining to perform classification on unseen data instances. AC is one of the …

Association Rule Mining (ARM) and classification are integrated together to build
competitive classifier models called Associative Classifiers and this approach is known as …

As a branch of classification, associative classification combines the basic ideas of
association rule mining and general classification. Previous studies show that associative …