Child immunization using data analysis

Abstract

Data mining is the process of sorting through enormous records to find anomalies, patterns as well as correlations to predict outcomes and future trends through data analysis. The desired results give way to new analytical insights and discovery. Its establishment comprises three joined experimental disciplines: figures (the numeric study about information relationships), artificial intelligence and machine learning (algorithms that study from information given to make future predictions that impact industry). In simple words, data mining helps to understand large complex data sheets in less time, with few risks and remove redundant data to make use of the relevant.