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

Associative Classification (AC) is a promising supervised learning method that uses
association rule mining to build classification systems (Classifiers). Several studies shows …

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 …

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 …

Traditional classification techniques such as decision trees and RIPPER use heuristic
search methods to find a small subset of patterns. In recent years, a promising new …

Associative classification (AC) is a promising data mining approach which builds more
accurate classifiers than traditional classification technique such as decision trees and rule …

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

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 …