Use of Data Mining Techniques to Find Relation between Attendance and Results in Learning

Abstract

Data mining or data extraction is one of the best ways to analyze data from different points of view based on the obtained information. It is also known as discovery of knowledge Data mining system is used as an analytical tool to analyze the data, as well as allow the user to analyze a number of different angles. Moreover, it summarizes the relations and finds the correlations or patterns among dozens of fields. In this research, data mining technique is used to compare between the traditional learning and electronic learning using student’s dataset, from x university. The tool that has been selected is WEKA. Clustering methods was used to compare between the two groups using K-means algorithms, also Microsoft Excel spread sheet was used to save the data. The results showed that the e-learning is better than the traditional learning.