… -state-of-the-art associative classification techniques on different … compare between four
associative classification techniques that … Related research works on associative classification …

… new associative classification method called Multi-class Classification based on Association
… This paper aims to improve upon the prediction accuracy and efficiency of AC techniques by …

… Classification and association rule discovery are similar … that the main aim of classification
is the prediction of class labels, … predictive accuracy, especially where slightly lower accuracy …

… The high applicability of this classiŻcation approach is mainly due to several advantages
oŽered such as the simplicity of the output, the high predictive accuracy of the classiŻer and the …

… is to improve the classifier predictive accuracy by the development of new prediction
procedures that consider multiple rules to make the assignment of class in the prediction step. …

… In associative classification, association rule mining is used to generate candidate rules, …
PRM has higher efficiency but lower accuracy than associative classification. In PRM, every rule …

… As expected, the prediction accuracy increases when the examination session is approaching…
potential of associative classification models, which combine accuracy and interpretability. …

… Associative Classification (AC). In the last decade, AC algorithms proved to be effective in
devising high accurate classification … Peng, “A study of predictive accuracy for four associative …

… 92.86% predictive accuracy on … of predictive accuracy because it uses multiple rules to
predict unseen samples, unlike our proposed algorithm, which uses only one rule for classification…

… build an accurate classifier. The main contribution of the present study to attain … prediction
accuracy for early diagnoses of heart diseases. The proposed hybrid associative classification …