Efficiency of Data Mining Techniques in Edifying Sector

In recent years, data mining techniques are used in various fields like bio metrics, bio technology, business analytics etc to make decisions. In this paper, the different data mining techniques like classification, clustering and association mining are applied on various educational domains like goal setting, learning and teaching methodologies, performance and achievement. The efficiency of the algorithms for each domain is analyzed. Classification techniques are proved to be very efficient in predicting the course and program outcome of a higher education course, clustering algorithm was proved very effective in grouping the students based on their performance and association mining is proved very effective in bringing out interesting rules to understand their behavior in new learning environments.