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Kyaukse 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 Public Health, Yangon
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Yangon Technological University
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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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Developing Decision Tree Using ID3 for Paddy Classification
http://hdl.handle.net/20.500.12678/0000004137
http://hdl.handle.net/20.500.12678/000000413736206af7-9f3b-4b41-81a0-5087eed66f6b
f502870a-0fb3-448c-923c-44a3c23ebc87
Name / File | License | Actions |
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Developing Decision Tree Using ID3 for Paddy Classification | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Cho, May Latt | ||||||
Htun, Moe Sanda | ||||||
Description | ||||||
Data Mining is the task of discoveringinteresting pattern from large amounts of data wherethe data can be stored in database, data warehouse.Data classification is the process of building a modelfrom available data called the training data set andclassifying objects according to their attributes.Decision tree algorithms have been used forclassification in a wide range of applicationdomains. The aim of this paper is to study aboutdecision tree algorithm. This system is intended todevelop the type of Myanmar’s paddy data by usingdecision tree induction classification algorithm,Depending upon the data tuples of paddy dataset, thesystem can classify the type of paddy data whether itis good or bad quality and quantity. | ||||||
Keywords | ||||||
Data mining, classification, decision tree Induction | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1837 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |