Maximizing Student Efficiency using Data Mining Technique

Authors(1) :-PNV Syamala Rao

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.

Authors and Affiliations

PNV Syamala Rao
Assistant Professor, Department of CSE, BVRIT, Telangana, India

Classification, Data Mining, Prediction, Performance, Knowledge, Information.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 500-503
Manuscript Number : CSEIT1726155
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

PNV Syamala Rao, "Maximizing Student Efficiency using Data Mining Technique", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.500-503, November-December-2017.
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