Logical Review on Educational Data Mining

Student's admission, attendance in the class and their examination results is one of the big data for today's educational institution for manipulating and storing. Maintaining this type of data is of the logic task for data recorder. As the education data is growing very quickly in the education field so that different logical algorithms are required. Due to this reason Educational Data Mining (EDM) is required in Educational Sector. The algorithms of data mining like traditional cannot applied directly to educational issues because they have particular aim, so that a primary algorithm has to apply then after the method of data mining will use on the problem. Before processing the data clustering can be used as a primary algorithm. The number of studies shows application of data mining algorithm by using different attributes. So, in this paper a logically review on applying clustering algorithm as well as its uses in terms of EDM is studied.