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Data Preprocessing-Based Comparative Study on Decision Tree Induction Algorithm

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dc.contributor.author Myint, Khaing
dc.contributor.author Oo, Win Mar
dc.date.accessioned 2019-07-31T13:15:19Z
dc.date.available 2019-07-31T13:15:19Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1526
dc.description.abstract Data preprocessing is an important step in the knowledge discover process and quality decisions such as, real-world data which tend to be incomplete, noisy and inconsistent data. The system uses the discretization and concept hierarchy generation, that transforms the numeric data to categorical values in the data preprocessing techniques.Moreover, this paper addresses the speed and scalability issues by proposing a data classification method which attributes selection measure and the induction of decision tree .Myanmar is a country that its’ economy is based on agriculture. Crop production plays an important role in the session of agriculture. So, this system provides business application areas for crop information. This system compares decision tree generation time and the accuracy of the data preprocessing with and without preprocessing data. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Data Preprocessing-Based Comparative Study on Decision Tree Induction Algorithm en_US
dc.type Article en_US

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