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Data Mining Technique for Improving Student Performance

B.R. Patel1

  1. AMPICS, Ganpat University, Mehsana, India.

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

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-10 , Page no. 194-197, Oct-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i10.194197

Online published on Oct 30, 2017

Copyright © B.R. Patel . 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: B.R. Patel, “Data Mining Technique for Improving Student Performance,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.10, pp.194-197, 2017.

MLA Style Citation: B.R. Patel "Data Mining Technique for Improving Student Performance." International Journal of Computer Sciences and Engineering 5.10 (2017): 194-197.

APA Style Citation: B.R. Patel, (2017). Data Mining Technique for Improving Student Performance. International Journal of Computer Sciences and Engineering, 5(10), 194-197.

BibTex Style Citation:
@article{Patel_2017,
author = {B.R. Patel},
title = {Data Mining Technique for Improving Student Performance},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2017},
volume = {5},
Issue = {10},
month = {10},
year = {2017},
issn = {2347-2693},
pages = {194-197},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1497},
doi = {https://doi.org/10.26438/ijcse/v5i10.194197}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i10.194197}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1497
TI - Data Mining Technique for Improving Student Performance
T2 - International Journal of Computer Sciences and Engineering
AU - B.R. Patel
PY - 2017
DA - 2017/10/30
PB - IJCSE, Indore, INDIA
SP - 194-197
IS - 10
VL - 5
SN - 2347-2693
ER -

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Abstract

Data mining technology is a procedure for analyzing large amounts of available data and extracting useful information and knowledge to support critical decision-making processes. Data mining can be applied to various applications in the field of education to improve student performance. Educational data mining is developing rapidly and is an important technology for data analysis in the field of education. This paper shown different classification algorithms of data mining those are used for development of a data mining model for predictions of performances of students, on the basis of their personal demographic and academic information. This paper analyze and evaluate the students‟ performance by applying data mining classification algorithms in weka tool.

Key-Words / Index Term

classification, data mining, prediction, performance, knowledge, information

References

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