UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2206554


Registration ID:
404483

Page Number

f428-f434

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Title

Research Paper on Enhancing Information Based Learning System Using Educational Data Mining

Abstract

In this data world, where druggies generate their digital footmark and induce a huge quantum of unshaped data continuously with each exertion, data mining ways help in discovering intriguing patterns, establishing connections and unravel the problems through analysis, in different aspects of life. Educational data mining is a multidisciplinary exploration area, in which data from colorful educational associations, is explored and made functional, for colorful angles concerned with the scholars, like prognosticating academic performance, assay the literacy pattern, working e-learning issues, prognosticate employability, fantasize the critical courses affecting performance, probe the reasons for pupil’s failure or drop out and therefore make data- driven opinions to ameliorate the institutions norms. This paper provides a brief overview of Data Mining tools and ways, and its encroachment in the educational sphere. It also proposes a simple frame using different variables which helps in prognosticating pupil’s academic success using two different algorithms Decision Trees and Bayesian Network. Eventually, a relative analysis of delicacy is done. The results show that Bayesian Network outperforms the Decision Tress and gives better delicacy. Educational Data Mining( EDM) is a platform for knowledge and exploring from data to get essential information and induce the unique pattern which will help study, assay and skill pupil performance in academic. various data mining styles can be apply to sludge the data from data storage to apply data mining ways which helps pupil for taking opinions for better outgrowth. The model which can be use in Educational data mining must be a constructive and descriptive model applied on data storage and must gather truly accurate data for enhance the performance of study.

Key Words

Educational Data Mining, Cluster Analysis, Classification, Regression Model, K-Means.

Cite This Article

"Research Paper on Enhancing Information Based Learning System Using Educational Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.f428-f434, June-2022, Available :http://www.jetir.org/papers/JETIR2206554.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Research Paper on Enhancing Information Based Learning System Using Educational Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppf428-f434, June-2022, Available at : http://www.jetir.org/papers/JETIR2206554.pdf

Publication Details

Published Paper ID: JETIR2206554
Registration ID: 404483
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: f428-f434
Country: Durg, Chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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