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Application of clustering algorithm for analysis of Student Academic Performance

A Seetharam Nagesh1 , Ch V S Satyamurty2

  1. IT Department, CVR College of Engineering, Hyderabad, India.
  2. IT Department, CVR College of Engineering, Hyderabad, India.

Correspondence should be addressed to: nageshf25@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-1 , Page no. 381-384, Jan-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i1.381384

Online published on Jan 31, 2018

Copyright © A Seetharam Nagesh, Ch V S Satyamurty . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A Seetharam Nagesh, Ch V S Satyamurty, “Application of clustering algorithm for analysis of Student Academic Performance,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.381-384, 2018.

MLA Style Citation: A Seetharam Nagesh, Ch V S Satyamurty "Application of clustering algorithm for analysis of Student Academic Performance." International Journal of Computer Sciences and Engineering 6.1 (2018): 381-384.

APA Style Citation: A Seetharam Nagesh, Ch V S Satyamurty, (2018). Application of clustering algorithm for analysis of Student Academic Performance. International Journal of Computer Sciences and Engineering, 6(1), 381-384.

BibTex Style Citation:
@article{Nagesh_2018,
author = {A Seetharam Nagesh, Ch V S Satyamurty},
title = {Application of clustering algorithm for analysis of Student Academic Performance},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2018},
volume = {6},
Issue = {1},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {381-384},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1688},
doi = {https://doi.org/10.26438/ijcse/v6i1.381384}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.381384}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1688
TI - Application of clustering algorithm for analysis of Student Academic Performance
T2 - International Journal of Computer Sciences and Engineering
AU - A Seetharam Nagesh, Ch V S Satyamurty
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 381-384
IS - 1
VL - 6
SN - 2347-2693
ER -

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Abstract

The analysis of the Student academic performance in educational institutions is a crucial task to make managerial decisions and to impart quality education. The data pertaining to the educational institutions is increasing rapidly. Mining these large volumes of the data will help the management to make academia decisions. Predicting the academic performance of the student at an early stage of their course will help the academia to identify the merit students and also to put more efforts in developing remedial programs for the weaker students to improve their performance. In this paper, we applied k-means clustering algorithm for analysing the students result data and predicting the students’ performance.

Key-Words / Index Term

Academic Performance, Data Mining, Student’s result data, clustering

References

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