Abstract: Data Mining is the process of analyzing data from different dimensions and summarizing it into useful information. Classification is a data mining techniques used to predict group memberships for data instances. In this paper, Classification is applied to analyze the Student’s Recruitment process like Selected, Waiting and Not Selected. This paper will help the Lecturers to shortlist the students and arrange them for the recruitment process. Existing system of student recruitment process is to identifies the weak students before the final exam through internal assessment like, quiz, lab-performance, attendance and previous exam grade to improve the performance of the student in the final exam. Proposed system of student recruitment process is to apply the recruitment process based on the student’s performance by taking appropriate steps at right time.
Keywords: Classification, predict, data mining, instances, membership, dimensions, shortlist.
Title: Prediction of Students Recruitment Process Using Data Mining Techniques with Classification Rules
Author: T. Malathi, S. Srinivasan, K.R. DilliRani
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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