2026-04-15T22:41:15Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4137 2022-03-24T23:11:30Z 1582963302567:1597824273898 user-ucsy

Developing Decision Tree Using ID3 for Paddy Classification Cho, May Latt Htun, Moe Sanda 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. 2009-12-30 http://hdl.handle.net/20.500.12678/0000004137 https://meral.edu.mm/records/4137