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.
