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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

Virtual Map-Based Approach to Optimize Storage and Perform Analytical Operation on Educational Big Data

verfasst von : G. S. Chethan, S. Vinay

Erschienen in: Emerging Research in Electronics, Computer Science and Technology

Verlag: Springer Singapore

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Abstract

The mechanism of knowledge delivery system in a cloud-based e-learning system can be significantly improved if an advanced analytical operation can be performed over it. Although, there are various research attempts that have used big data approach on educational data by introducing various sophisticated techniques; however, the problems associated with the elementary structure of data is less reported. Therefore, this paper presents a novel concept of virtual map generation that is meant for repositing the structured data after it is transformed from unstructured educational data. The proposed system offers the advantage of independence from any existing software frameworks to introduce a simplified approach that can not only perform an effective transformation but can also perform an analytical operation using a semantic-based approach. The system also offers the benefit of faster response time with better consistency over educational big data.

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Metadaten
Titel
Virtual Map-Based Approach to Optimize Storage and Perform Analytical Operation on Educational Big Data
verfasst von
G. S. Chethan
S. Vinay
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Emerging Research in Electronics, Computer Science and Technology

Print ISBN: 978-981-13-5801-2

Electronic ISBN: 978-981-13-5802-9

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-13-5802-9_37

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