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 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 …

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 machine learning approach that aims to build accurate,
effective and compact classification models (classifiers) by combining paradigms from …

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 …

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

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 …

Huge amounts of data are being collected and analyzed nowadays. By using the popular
rule-learning algorithms, the number of rules discovered on those big datasets can easily …