JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

Unique Identifier

JETIRC006003

Page Number

16-20

Share This Article


Title

ASSESSMENT OF PERFORMANCE OF ENGINEERING STUDENTS USING EDUCATIONAL DATA MINING

ISSN

2349-5162

Cite This Article

"ASSESSMENT OF PERFORMANCE OF ENGINEERING STUDENTS USING EDUCATIONAL DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.16-20, June-2018, Available :http://www.jetir.org/papers/JETIRC006003.pdf

Abstract

The number of engineering colleges in South India is considerably high. Since engineering courses are most sought by the parents, the competition amongst institutions is also more. The institution with better ranking and credentials get better cut off ranking students. The present study is on educational data mining where the academic results of students for one course is obtained through questionnaire, the internal assessment and university results are obtained and a study is made by applying machine learning algorithms. For present study, Naïve Bayes algorithm is applied which gives 100%.

Key Words

Naive Bayes, Machine learning, Educational Data mining.

Cite This Article

"ASSESSMENT OF PERFORMANCE OF ENGINEERING STUDENTS USING EDUCATIONAL DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp16-20, June-2018, Available at : http://www.jetir.org/papers/JETIRC006003.pdf

Publication Details

Published Paper ID: JETIRC006003
Registration ID: 183507
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 16-20
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"ASSESSMENT OF PERFORMANCE OF ENGINEERING STUDENTS USING EDUCATIONAL DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp16-20, June-2018, Available at : http://www.jetir.org/papers/JETIRC006003.pdf




Preview This Article


Downlaod

Click here for Article Preview