Sciweavers

Share
CSE
2008
IEEE

ACN: An Associative Classifier with Negative Rules

11 years 11 months ago
ACN: An Associative Classifier with Negative Rules
Classification using association rules has added a new dimension to the ongoing research for accurate classifiers. Over the years, a number of associative classifiers based on positive rules have been proposed in literature. The target of this paper is to improve classification accuracy by using both negative and positive class association rules without sacrificing performance. The generation of negative associations from datasets has been attacked from different perspectives by various authors and this has proved to be a very computationally expensive task. This paper approaches the problem of generating negative rules from a classification perspective, how to generate a sufficient number of high quality negative rules efficiently so that classification accuracy is enhanced. We adopt a simple variant of Apriori algorithm for this and show that our proposed classifier "Associative Classifier with negative rules"(ACN) is not only time-efficient but also achieves significantly...
Gourab Kundu, Md. Monirul Islam, Sirajum Munir, Md
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where CSE
Authors Gourab Kundu, Md. Monirul Islam, Sirajum Munir, Md. Faizul Bari
Comments (0)
books