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Big Data Analytics Framework for Smart Universities Implementations

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dc.citedby1
dc.contributor.authorShamsuddin N.T.en_US
dc.contributor.authorAziz N.I.A.en_US
dc.contributor.authorCob Z.C.en_US
dc.contributor.authorGhani N.L.A.en_US
dc.contributor.authorDrus S.M.en_US
dc.contributor.authorid57208926860en_US
dc.contributor.authorid57208925931en_US
dc.contributor.authorid25824919900en_US
dc.contributor.authorid56940219600en_US
dc.contributor.authorid56330463900en_US
dc.date.accessioned2023-05-29T07:30:23Z
dc.date.available2023-05-29T07:30:23Z
dc.date.issued2019
dc.descriptionAdvanced Analytics; Behavioral research; Big data; Decision making; Internet of things; Smart city; Teaching; Critical component; Education domain; Internet of Things (IOT); Management decision-making; Smart grid; Smart technology; Smart universities; Teaching and learning; Data Analyticsen_US
dc.description.abstractAdvance 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-20717-5_7
dc.identifier.epage62
dc.identifier.scopus2-s2.0-85066134695
dc.identifier.spage53
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85066134695&doi=10.1007%2f978-3-030-20717-5_7&partnerID=40&md5=ba1752ccc97ff7483cf99fb3f9f611f1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25015
dc.identifier.volume565
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Electrical Engineering
dc.titleBig Data Analytics Framework for Smart Universities Implementationsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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