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 |