Big Data Analytics Framework for Smart Universities Implementations

Advance integration progress between multiple main areas such as economy, mobility, environment, people, living and government is the establishment of Smart City. It is also collaborate both ICT and urban studies based sections. In a mean time, big data has been applied into multiple fields such as...

Full description

Saved in:
Bibliographic Details
Main Authors: Shamsuddin, N.T., Aziz, N.I.A., Cob, Z.C., Ghani, N.L.A., Drus, S.M.
Format: Conference Paper
Language:English
Published: 2020
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-13230
record_format dspace
spelling my.uniten.dspace-132302020-03-17T05:24:05Z Big Data Analytics Framework for Smart Universities Implementations Shamsuddin, N.T. Aziz, N.I.A. Cob, Z.C. Ghani, N.L.A. Drus, S.M. Advance integration progress between multiple main areas such as economy, mobility, environment, people, living and government is the establishment of Smart City. It is also collaborate both ICT and urban studies based sections. In a mean time, big data has been applied into multiple fields such as the healthcare, government, e-commerce and universities. In addition, the evolution of Internet of Things (IoT) technologies coupled with big data capability have open up to new possibilities for smart city implementation. Further to this, technologies such as advance server and classroom with smart technologies are helping universities with its function. In order to enhance Research and Innovation department in universities, specific objectives, reliable staffs and efficient standard of procedure (SOP) is needed for becoming smart universities. Big data analytics shows promise at universities today as they have access to large amount of data resulted from their teaching and learning activities. Data analytics can be used to provide insights for the betterment of the students and staffs, to improve the teaching and learning process, and for supporting management decision making needs. However, there is limited discussion on how big data can be implemented in education domain to make it smarter, especially related to critical components for a successful smart university implementation. In this paper, we describe the smart city components and smart-based applications used within the context of smart cities. The application of big data analytics to support smart cities are also discussed and finally, a framework of big data analytics for smart university is proposed and main components of the framework are also described based on the review of existing works in literature. © 2019, Springer Nature Switzerland AG. 2020-02-03T03:31:13Z 2020-02-03T03:31:13Z 2019 Conference Paper 10.1007/978-3-030-20717-5_7 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description Advance integration progress between multiple main areas such as economy, mobility, environment, people, living and government is the establishment of Smart City. It is also collaborate both ICT and urban studies based sections. In a mean time, big data has been applied into multiple fields such as the healthcare, government, e-commerce and universities. In addition, the evolution of Internet of Things (IoT) technologies coupled with big data capability have open up to new possibilities for smart city implementation. Further to this, technologies such as advance server and classroom with smart technologies are helping universities with its function. In order to enhance Research and Innovation department in universities, specific objectives, reliable staffs and efficient standard of procedure (SOP) is needed for becoming smart universities. Big data analytics shows promise at universities today as they have access to large amount of data resulted from their teaching and learning activities. Data analytics can be used to provide insights for the betterment of the students and staffs, to improve the teaching and learning process, and for supporting management decision making needs. However, there is limited discussion on how big data can be implemented in education domain to make it smarter, especially related to critical components for a successful smart university implementation. In this paper, we describe the smart city components and smart-based applications used within the context of smart cities. The application of big data analytics to support smart cities are also discussed and finally, a framework of big data analytics for smart university is proposed and main components of the framework are also described based on the review of existing works in literature. © 2019, Springer Nature Switzerland AG.
format Conference Paper
author Shamsuddin, N.T.
Aziz, N.I.A.
Cob, Z.C.
Ghani, N.L.A.
Drus, S.M.
spellingShingle Shamsuddin, N.T.
Aziz, N.I.A.
Cob, Z.C.
Ghani, N.L.A.
Drus, S.M.
Big Data Analytics Framework for Smart Universities Implementations
author_facet Shamsuddin, N.T.
Aziz, N.I.A.
Cob, Z.C.
Ghani, N.L.A.
Drus, S.M.
author_sort Shamsuddin, N.T.
title Big Data Analytics Framework for Smart Universities Implementations
title_short Big Data Analytics Framework for Smart Universities Implementations
title_full Big Data Analytics Framework for Smart Universities Implementations
title_fullStr Big Data Analytics Framework for Smart Universities Implementations
title_full_unstemmed Big Data Analytics Framework for Smart Universities Implementations
title_sort big data analytics framework for smart universities implementations
publishDate 2020
_version_ 1662758833314856960
score 13.222552