Universiti Teknologi Malaysia Institutional Repository

Mining association rule from large databases.

Defit, Sarjon and Md. Sap, Mohd. Noor (2001) Mining association rule from large databases. Jurnal Teknologi Maklumat, 13 (2). pp. 16-37. ISSN 0128-3790

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Abstract

Association rules, introduced by Agrawal, Imielinski and Swami, is one of data mining technique to discover interesting rules or relationships among attributes in databases. It has attracted great attention in database research communities in recent years. In this paper, we propose a Mining Association Rules (MAR) model which integrate intelligent and data analysis techniques. MAR model has been implemented and tested using Jakarta Stock Exchange (JSA) databases. Our study conclude that MAR model can improve the performance ability of generated rules. In this paper, we explain the proposed MAR model, testing and experimental results in looking into the performance of the model and conclusion.

Item Type:Article
Uncontrolled Keywords:data mining, association rules, interesting rules, intelligent technique, data analysis technique
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:8764
Deposited By: Ms Zalinda Shuratman
Deposited On:12 May 2009 02:46
Last Modified:02 Jun 2010 01:57

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