A Review: Recruitment Prediction Analysis Of Undergraduate Engineering Students Using Data Mining Techniques

International Journal of Computer Science and Engineering

© 2021 by SSRG - IJCSE Journal

Volume 8 Issue 3

Year of Publication : 2021

Authors : Vandana Mulye, Dr. Atul Newase

10.14445/23488387/IJCSE-V8I3P101

How to Cite?

Vandana Mulye, Dr. Atul Newase, "A Review: Recruitment Prediction Analysis Of Undergraduate Engineering Students Using Data Mining Techniques," SSRG International Journal of Computer Science and Engineering , vol. 8,  no. 3, pp. 1-6, 2021. Crossref, https://doi.org/10.14445/23488387/IJCSE-V8I3P101

Abstract:

At present, the Recruitment of Engineering students is the biggest challenging task and problem in India Recruitment is an aspiration of each engineering student. After studying hard, spending more money and time, every student eagerly waits for recruitment, but at last, most of the students don't get recruited. The present situation of recruitment of engineering students is very disgraceful. Although there is a huge amount of well-reputed, equipped, good infrastructure engineering institute is placed in India, but they are unable to provide recruitment to each student. Recruitment is the right of each engineering student. To overcome such type of situation, the prediction method of this research will help students as well as Institutions. Hence this prediction method will help to engineer Institution to identify the main qualities which are essential to get recruitment. Prior identification of student’s eligibility can help to engineer institutions to upgrade their student’s qualities to get recruited as well as students also. This paper presents a review of various studies made by different investigators, researchers on recruitment prediction analysis of students using data mining techniques.

Keywords:

Classification, Data mining, Logistic Regression, Machine Learning, Prediction.

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