Student Placement Prediction Using ID3 Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
Data mining is a technology which is used in many fields now a day. In educational field data mining is used to understand different perspectives in student data. The main aim of this research work is to identify relevant attributes based on academics, skills and curricular of final year student and design a model which can predict placement of the student using a classification technique based on decision tree. This model can be useful for faculties, university and students to more emphasize on those which are not eligible for placement according to this model.
Authors and Affiliations
Namita Puri, Deepali Khot, Pratiksha Shinde, Kishori Bhoite, Prof. Deepali Maste
Keywords
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