… quality negative rules efficiently so that classification accuracy … classifier “Associative Classifier
with negative rules”(ACN) is … state-of-the-art classification methods by experimenting on …

… ability of rule-based classifier using multiple and negative rules. … associative classification
techniques: • Negative redundant rule pruning: We extend pruning negative redundant rule in …

… Lastly, ACN and negative rules have discussed … negation in the antecedent or consequent
part of the rule. More precisely, ACN was proposed to mine a relatively large set of negative …

… set of negative association rules and then uses both positive and negative rules to build a
classifier. … [31] showed that ACN has better average classification accuracy compared to three …

… rules in AC has been investigated in this thesis aiming to minimise the number of candidate
rules, and therefore reducing the classifier … Lastly, ACN and Negative rules have discussed …

… They are also very useful for constructing associative classifiers. In this paper, we propose
an algorithm that mines positive and negative association rules without adding any additional …

… , negative association rules have been recognized for their ability to enhance associative
classification … Meanwhile, ACN has an advantage of fast mining rules due to the less database …

… The advantage of generating negative rules is that, good number of negative rules can be …
First it designs an ACN rule generator and then it builds classifier. ACN uses several pruning …

… ACN replaces this literal with the corresponding negated literal (:), creates a new negative
rule and adds it to the negative … be used in most rule-based associative algorithms, to improve …

… impact of rule ranking before constructing the classifier in AC … different rule ranking formulas
during building the classifier in … impact the classification accuracy of the derived classifiers. …