IMPLEMENTATION REGRESSION ANALYSIS AND K-MEANS TO PREDICT AND CLASSIFY FIXED DATA ASSET IN EDUCATION AUTHORITIES
Keywords:
Analysis Regression, K-Means, Clustering, Data MiningAbstract
Regional assets represent regional assets which in essence belong to the respective provincial government. These government assets can play a role as collateral for regional development. The preparation of asset documents aims to safeguard assets from the aspect of regional administration. In this study, the method used are Regression Analysis and K-Means Method. The purpose of this study was to predict and classify fixed data asset using Regression Analysis and K-Means Method. This research was conducted using the Python programming language and the Visual Studio code.
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