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A Comparative Study on Data Mining Applications

Brijesh Kumar Bhardwaj1

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 902-904, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.902904

Online published on Feb 28, 2019

Copyright © Brijesh Kumar Bhardwaj . 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: Brijesh Kumar Bhardwaj , “A Comparative Study on Data Mining Applications,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.902-904, 2019.

MLA Style Citation: Brijesh Kumar Bhardwaj "A Comparative Study on Data Mining Applications." International Journal of Computer Sciences and Engineering 7.2 (2019): 902-904.

APA Style Citation: Brijesh Kumar Bhardwaj , (2019). A Comparative Study on Data Mining Applications. International Journal of Computer Sciences and Engineering, 7(2), 902-904.

BibTex Style Citation:
@article{Bhardwaj_2019,
author = {Brijesh Kumar Bhardwaj },
title = {A Comparative Study on Data Mining Applications},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {902-904},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3767},
doi = {https://doi.org/10.26438/ijcse/v7i2.902904}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.902904}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3767
TI - A Comparative Study on Data Mining Applications
T2 - International Journal of Computer Sciences and Engineering
AU - Brijesh Kumar Bhardwaj
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 902-904
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Data mining is broadly utilized in assorted territories. There is various business data mining framework accessible today but there are numerous difficulties in this field. This paper explains use of new terminology (decision tree) in educational data mining. Decision tree are used the data comparison with data mining capability. It helps prior in distinguishing the dropouts and understudies who require exceptional consideration and enable the educator to give suitable exhorting/advising.

Key-Words / Index Term

Data Mining Applications, Decision tree, Classifications.

References

[1]. Q. A. AI-Radaideh, E. W. AI-Shawakfa, and M. I. AI-Najjar, “Mining student data using decision trees”, International Arab Conference on Information Technology (ACIT`2006), Yarmouk University, Jordan, 2006.
[2]. U. K. Pandey, and S. Pal, “A Data mining view on class room teaching language”, (IJCSI) International Journal of Computer Science Issue, Vol. 8, Issue 2, pp. 277-282, ISSN: 1694-0814, 2011.
[3]. Shaeela Ayesha, Tasleem Mustafa, Ahsan Raza Sattar, M. Inayat Khan, “Data mining model for higher education system”, Europen Journal of Scientific Research, Vol.43, No.1, pp.24-29, 2010.
[4]. M. Bray, “The shadow education system: private tutoring and its implications for planners”, (2nd ed.), UNESCO, PARIS, France, 2007.
[5]. J. R. Quinlan, “Introduction of decision tree”, Journal of Machine learning”, : pp. 81-106, 1986.
[6]. Z. J. Kovacic, “Early prediction of student success: Mining student enrollment data”, Proceedings of Informing Science & IT Education Conference 2010
[7]. Jadhav, R. J. (2011). Churn Prediction in Telecommunication Using Data Mining Technology. International Journal of Advanced Computer Science and Applications - IJACSA, 2(2), 17-19.
[8]. Firdhous, M. F. M. (2010). Automating Legal Research through Data Mining. International Journal of Advanced Computer Science and Applications - IJACSA, 1(6), 9-16.