Universiti Teknologi Malaysia Institutional Repository

Intelligent mining multi dimensional association rules from large inconsistent databases.

Defit, Sarjon and Md. Sap, Mohd. Noor (2003) Intelligent mining multi dimensional association rules from large inconsistent databases. Jurnal Teknologi Maklumat, 15 (1). pp. 1-22. ISSN 0128-3790

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Abstract

The widespread use of computer applications, database technologies and data collection techniques have resulted in the accumulation of large amounts of data in databases. This has generated an urgent need for new techniques that can intelligently and automatically transform the processed data into useful information and knowledge. In this paper, we propose an intelligent method for mining multi dimensional association rules from large inconsistent databases. It is called Intelligent Mining Association Rules (IMAR). The proposed IMAR was experimented and studied using three domain data sets. It includes Australian Credit Card (ACC), Jakarta Stock Exchange (JSX), and Cleveland Heart Diseases (CLEV) data sets. The results of this study show that IMAR is a promising method for mining multi dimensional association rules from large inconsistent databases intelligently and accurately, and IMAR is a promising method for solving complex data mining problems.

Item Type:Article
Uncontrolled Keywords:intelligent mining association rules (IMAR), computer applications, database technologies, data collection techniques
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions:Computer Science and Information System (Formerly known)
ID Code:8537
Deposited By: Ms Zalinda Shuratman
Deposited On:11 May 2009 04:29
Last Modified:02 Jun 2010 01:56

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