Cosmetic Products Selection Using Reduct Generation Algorithm

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.