UGC Approved Journal no 63975(19)

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

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAE06072


Registration ID:
198793

Page Number

299-301

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Title

Comparative Study of Data Analytics Open Source Tools for Educational Data Analytics

Abstract

Educational data analytics is useful and important in data driven decision making to achieve better educational outcomes.Open source data mining tools are extendable, and may offer substantial flexibility in handling various types of data. Comparative study of different data mining tools come as comprehensive, integrated suites featuring a wide range of data analysis components.The comparative study provides the specific details along with description of various open source data mining tools enlisting the area of specialization.Also the tools are compared based on the use and applicability of these tools by different researchers for their research purpose. WEKA is the most popular tool used by many researchers.

Key Words

Data Analytics, Comparison, Open Source Tools

Cite This Article

"Comparative Study of Data Analytics Open Source Tools for Educational Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.299-301, February-2019, Available :http://www.jetir.org/papers/JETIRAE06072.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

"Comparative Study of Data Analytics Open Source Tools for Educational Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp299-301, February-2019, Available at : http://www.jetir.org/papers/JETIRAE06072.pdf

Publication Details

Published Paper ID: JETIRAE06072
Registration ID: 198793
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 299-301
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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