Literature Review: Data Mining For Student Data Classification

Abstract

The abundance of student data and data on the number of student graduations, hidden information can be found by processing student data so that it is useful for the university. Processing of student data needs to be done to find out important information in the form of new knowledge (knowledge discovery). Method: Literature review is carried out based on issues, methodology, equations.result : Decision Trees) Decision tree analysis (or decision tree analysis is a technique that belongs to the machine-learning family) is arguably the most popular classification technique in the data mining area.