Mining Higher Educational Students Data to Analyze Student’s Admission in Various Discipline

Neeraj Bhargava, Anil Rajput, Pooja Shrivastava

DOI: http://dx.doi.org/10.5138/bjdmn.v1i2.1239

Abstract


In this paper our main goal to analyze Higher Education students’ data for taking admission in various disciplines. For this purpose we have used data from urban, semi – urban and rural area institutions. In the analysis we applied data mining techniques. It is the key which unlocks the road of modernization. Programs of education at all levels and especially at the higher level constitute the base of the effort to forget the bounds common citizenship to harness the energies of the people.

In this research paper we have studied and taking idea to develop it

Keywords


Higher Educational Data Mining, Classification; Knowledge Discovery in Database (KDD), Decision Tree

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