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Co-operative College, Mandalay
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Cooperative College, Phaunggyi
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Co-operative University, Sagaing
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Co-operative University, Thanlyin
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Dagon University
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Kyaukse University
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Laquarware Technological college
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Mandalay Technological University
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Mandalay University of Distance Education
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Mandalay University of Foreign Languages
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Maubin University
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Mawlamyine University
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Meiktila University
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Mohnyin University
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Myanmar Institute of Information Technology
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Myanmar Maritime University
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National Management Degree College
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Naypyitaw State Academy
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Pathein University
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Sagaing University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies Maubin
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University of Computer Studies, Meikhtila
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University of Computer Studies Pathein
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Mandalay
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University of Medicine 1
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University of Medicine 2
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University of Medicine Mandalay
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University of Myitkyina
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University of Public Health, Yangon
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University of Veterinary Science
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University of Yangon
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West Yangon University
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Yadanabon University
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Yangon Technological University
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Yangon University of Distance Education
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Yangon University of Economics
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Yangon University of Education
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Yangon University of Foreign Languages
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Yezin Agricultural University
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New Index
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Item
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Quantitative Association Rules Mining for Business Transactional Data
http://hdl.handle.net/20.500.12678/0000003674
http://hdl.handle.net/20.500.12678/0000003674124ed0c9-3a2b-4544-aee9-3f51fb075545
f2e2d5ce-651b-4932-a432-e2c2be2682c2
Name / File | License | Actions |
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3670.pdf (474 Kb)
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Quantitative Association Rules Mining for Business Transactional Data | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Nyaung, Dim En | ||||||
Zaw, Wint Thida | ||||||
Description | ||||||
The explosive growth in data and database has generated a need for techniques and tools that can transform the processed data into useful information and knowledge that improves marketing strategy. Association rules mining is finding frequent patterns, associations, correlations, or causal structures among item sets in transaction databases, relational databases, and other information repositories. The relational tables that stored the transactions have richer attribute types such as quantitative and categorical attribute. Thus the development of tools that can extract useful information from this large database is greatly demand. This paper discusses the quantitative association rules mining from business transactional database that store the textile store. We introduce the quantitative association rules mining using with the direct application using on a real-life dataset. | ||||||
Keywords | ||||||
Association Rules Mining, quantitative and category attributes, quantitative association rules mining | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1415 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |