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Cosmetic Products Selection Using Reduct Generation Algorithm

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dc.contributor.author Aung, Myat Thu
dc.contributor.author Cho, Aung
dc.date.accessioned 2019-07-22T07:47:53Z
dc.date.available 2019-07-22T07:47:53Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1159
dc.description.abstract Data mining is the task of discovering interesting patterns from large amounts of data. These data can be stored in database. Data classification in data mining tasks is the process of building a model from available data called training data set and classifying objects according to their attributes. The rough set theory can be used for classification that offers a viable approach for extracting of decision rules from data set. This system describes to develop the improvement quality for selection attributes of cosmetic products by using reduct generation algorithm under rough set theory. Any features from cosmetic products are produced by using reduct generation algorithm from rough set theory. This system also expresses for improvement quality of cosmetic products from selection of users. In the analysis of make up users, the set of rules are useful in classifying data. Users select rules of make up by their appropriate skin and age. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.subject data mining en_US
dc.subject data classification en_US
dc.subject rough set theory en_US
dc.subject cosmetic products en_US
dc.subject reduct generation algorithm en_US
dc.title Cosmetic Products Selection Using Reduct Generation Algorithm en_US
dc.type Article en_US

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