A quality based automated admission system for educational domain

In last two decades several educational institutes have started gaining momentum while many of them are in self financing mode. Every institute wants to have good student strength to allow a smooth academic session. This paper proposes the use of machine learning techniques in educational domain to enhance the quality of student admissions in any higher educational institute. The focus of this paper is to identify those admissions inquires which most likely to turn into actual admissions. The result of analysis will assist the academic planners to focus their efforts on the set of students that are likely to take admission in the institution after initial enquiry.