Kamaruddin, Siti Sakira and Yusof, Yuhanis and Husni, Husniza and Al Refai, Mohammad Hayel (2016) Text classification using modified multi class association rule. Jurnal Teknologi, 78 (8-2). ISSN 0127-9696

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Abstract

This paper presents text classification using a modified Multi Class Association Rule Method.The method is based on Associative Classification which combines classification with association rule discovery. Although previous work proved that Associative Classification produces better classification accuracy compared to typical classifiers, the study on applying Associative Classification to solve text classification problem are limited due to the common problem of high dimensionality of text data and this will consequently results in exponential number of generated classification rules. To overcome this problem the modified Multi-Class Association Rule Method was enhanced in two stages. In stage one the frequent pattern are represented using a proposed vertical data format to reduce the text dimensionality problem and in stage two the generated rule was pruned using a proposed Partial Rule Match to reduce the number of generated rules. The proposed method was tested on a text classification problem and the result shows that it performed better than the existing method in terms of classification accuracy and number of generated rules.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Dr. Siti Sakira Kamaruddin
Date Deposited:	15 Nov 2016 03:59
Last Modified:	15 Nov 2016 03:59
URI:	https://repo.uum.edu.my/id/eprint/19519

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