Description

We have implement novel process and using Decision making algorithm C4.5 Higher education institutions (HEIs) are repeatedly enquiring whether students will be successful or not during their study. Before or during their courses the academic institutions try to evaluation the ratio of successful students. But is it conceivable to calculate the success rate of students enrolled in their courses? Are there any specific student characteristics, which can be connected with the student success rate? Is there any relevant student data available to HEIs on the basis of which they could predict the student success rate? The answers to the above enquiry questions can generally be obtained using data mining tools. Data mining algorithms work best with large data sets, while student data, available to HEIs, related to courses are limited and falls into the category of small data sets. Thus, the study motivations on data mining for few student data sets and goals to answer the above research queries .