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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
36206af7-9f3b-4b41-81a0-5087eed66f6b
f502870a-0fb3-448c-923c-44a3c23ebc87
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55269.pdf 55269.pdf (250 Kb)
Publication type
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
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