THE ANALYSIS OF COVID-19 IMMUNIZATION DATA IN RAKHINE STATE USING KNN ALGORITHM

Abstract

Data mining involves the searching of large information of the data or records to discover pattens and utilize these pattens in the prediction the future events. Classification is one of the methods in data mining for categorizing a particular group of items to targeted groups. Main goal of classification is to predict the nature of an items or data based on the available classes of items. Construction of the classification model always defined by the available training data set. In this system, an analysis of COVID-19 immunization results of Rakhine State was carried out using k-Nearest Neighbor (k NN) classification algorithm in data mining. The data set about COVID 19 immunization details are collected from General Administration Department, Rakhine State. The primary objective of this system is to evaluate algorithm in the prediction of COVID-19 immunization finishing rate and analysis result of Rakhine state. k-Nearest Neighbor algorithm is utilized to carry out for the prediction of COVID-19 immunization results.