Towards Big Data Analytics in the e-Learning Space

The issues related to the analysis and management of Big Data, aspects of the security, stability and quality of the data, represent a new research, and engineering challenge. In the present paper, techniques for Big Data storage, search, analysis and management in the area of the virtual e-Learning...

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Bibliographic Details
Published in:Cybernetics and information technologies : CIT 2019-09, Vol.19 (3), p.16-24
Main Authors: Popchev, Ivan P., Orozova, Daniela A.
Format: Article
Language:English
Subjects:
Big Data Analytics
Data Mining
e-Learning
Map/Reduce
Orange
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Summary:The issues related to the analysis and management of Big Data, aspects of the security, stability and quality of the data, represent a new research, and engineering challenge. In the present paper, techniques for Big Data storage, search, analysis and management in the area of the virtual e-Learning space and the problems in front of them are considered. A numerical example for explorative analysis of data about the students from Burgas Free University is applied, using instrument for Data Mining of Orange. The analysis is a base for a system for localization of students at risk.
ISSN:1314-4081
1311-9702
1314-4081
DOI:10.2478/cait-2019-0023