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Significance of Influencing Factors’ Relationship in Education Domain

Jai Ruby1 , K. David2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-08 , Page no. 10-15, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si8.1015

Online published on Apr 10, 2019

Copyright © Jai Ruby, K. David . 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: Jai Ruby, K. David, “Significance of Influencing Factors’ Relationship in Education Domain,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.08, pp.10-15, 2019.

MLA Style Citation: Jai Ruby, K. David "Significance of Influencing Factors’ Relationship in Education Domain." International Journal of Computer Sciences and Engineering 07.08 (2019): 10-15.

APA Style Citation: Jai Ruby, K. David, (2019). Significance of Influencing Factors’ Relationship in Education Domain. International Journal of Computer Sciences and Engineering, 07(08), 10-15.

BibTex Style Citation:
@article{Ruby_2019,
author = {Jai Ruby, K. David},
title = {Significance of Influencing Factors’ Relationship in Education Domain},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {07},
Issue = {08},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {10-15},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=907},
doi = {https://doi.org/10.26438/ijcse/v7i8.1015}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.1015}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=907
TI - Significance of Influencing Factors’ Relationship in Education Domain
T2 - International Journal of Computer Sciences and Engineering
AU - Jai Ruby, K. David
PY - 2019
DA - 2019/04/10
PB - IJCSE, Indore, INDIA
SP - 10-15
IS - 08
VL - 07
SN - 2347-2693
ER -

           

Abstract

In recent years, Educational Data Mining has developed into a research realm. All educational institutions are striving hard to prove themselves as the best to attract the student community. Academic performance of the students plays a vital role in determining the status of the institution. So, all the institutions strive hard to know their wards in advance and improve their performance to stand out among their competitors. Unfortunately most the information in the academic institutions are hidden and need to be extracted out. Data mining is a well known technique for bringing out the hidden potential of the institutions. For mining, the data need to be transformed and reduced for better performance. This model is mainly focused on finding out the significance of the relationship between the derived influencing factors.

Key-Words / Index Term

Educational Data Mining, Academic Performance, Higher Education, Prediction, Contingency table, Chi-square

References

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