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Intelligent mining multi dimensional association rules from large inconsistent databases.

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 u...

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Main Authors: Defit, Sarjon, Md. Sap, Mohd. Noor
Format: Article
Language:English
Published: Penerbit UTM Press 2003
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/8537/1/MohdNoorMdSap2003_IntelligentMiningMultiDimensionalAssociation.PDF
http://eprints.utm.my/id/eprint/8537/
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spelling my.utm.85372017-11-01T04:17:40Z http://eprints.utm.my/id/eprint/8537/ Intelligent mining multi dimensional association rules from large inconsistent databases. Defit, Sarjon Md. Sap, Mohd. Noor QA75 Electronic computers. Computer science QA76 Computer software 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. Penerbit UTM Press 2003-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/8537/1/MohdNoorMdSap2003_IntelligentMiningMultiDimensionalAssociation.PDF 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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Defit, Sarjon
Md. Sap, Mohd. Noor
Intelligent mining multi dimensional association rules from large inconsistent databases.
description 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.
format Article
author Defit, Sarjon
Md. Sap, Mohd. Noor
author_facet Defit, Sarjon
Md. Sap, Mohd. Noor
author_sort Defit, Sarjon
title Intelligent mining multi dimensional association rules from large inconsistent databases.
title_short Intelligent mining multi dimensional association rules from large inconsistent databases.
title_full Intelligent mining multi dimensional association rules from large inconsistent databases.
title_fullStr Intelligent mining multi dimensional association rules from large inconsistent databases.
title_full_unstemmed Intelligent mining multi dimensional association rules from large inconsistent databases.
title_sort intelligent mining multi dimensional association rules from large inconsistent databases.
publisher Penerbit UTM Press
publishDate 2003
url http://eprints.utm.my/id/eprint/8537/1/MohdNoorMdSap2003_IntelligentMiningMultiDimensionalAssociation.PDF
http://eprints.utm.my/id/eprint/8537/
_version_ 1643645012461748224
score 13.211869

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