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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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2003
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| Online Access: | http://eprints.utm.my/8537/ http://eprints.utm.my/8537/1/MohdNoorMdSap2003_IntelligentMiningMultiDimensionalAssociation.PDF |
| _version_ | 1848891709794025472 |
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| author | Defit, Sarjon Md. Sap, Mohd. Noor |
| author_facet | Defit, Sarjon Md. Sap, Mohd. Noor |
| author_sort | Defit, Sarjon |
| building | UTeM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T21:02:17Z |
| format | Article |
| id | utm-8537 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:02:17Z |
| publishDate | 2003 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-85372017-11-01T04:17:40Z http://eprints.utm.my/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/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 |
| 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. |
| title | Intelligent mining multi dimensional association rules from large inconsistent databases.
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| title_full | Intelligent mining multi dimensional association rules from large inconsistent databases.
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| title_fullStr | Intelligent mining multi dimensional association rules from large inconsistent databases.
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| title_full_unstemmed | Intelligent mining multi dimensional association rules from large inconsistent databases.
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| title_short | Intelligent mining multi dimensional association rules from large inconsistent databases.
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| title_sort | intelligent mining multi dimensional association rules from large inconsistent databases. |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.utm.my/8537/ http://eprints.utm.my/8537/1/MohdNoorMdSap2003_IntelligentMiningMultiDimensionalAssociation.PDF |