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Implementation of Normalization using Min_Max Method

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dc.contributor.author Phyo, Nang Wai Wai
dc.contributor.author Hlaing, Chit Su
dc.date.accessioned 2019-07-31T03:14:52Z
dc.date.available 2019-07-31T03:14:52Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1481
dc.description.abstract This paper presents a method to normalize logical propositions in numerical data. Type of min_max normalization is emphasized in this study. Data mining is concerned with analyzing large volume of data to automatically discover interesting regularities or relationships. A function obtained by multiple regression analysis in which data are normalized to [0,1]. Therefore, the function represents a non-classical logical proposition and it can be approximated by a Boolean function representing a classical logical proposition This paper presents a method of data transformation.Aim of this paper is to normalized numerical data and reduce the occupied memory space. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Implementation of Normalization using Min_Max Method en_US
dc.type Article en_US


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