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A Framework for Big Data Analysis in Smart Cities

  • Hisham ElhosenyEmail author
  • Mohamed Elhoseny
  • A. M. Riad
  • Aboul Ella Hassanien
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 723)

Abstract

Due to the rapid change in technologies, new data forms exist which lead to a huge data size on the internet. As a result, some learning platforms such as e-learning systems must change their methodologies for data processing to be smarter. This paper proposes a framework for smoothly adapt the traditional e-learning systems to be suitable for smart cities applications. Learning Analytics (LA) has turned into a noticeable worldview with regards to instruction of late which embraces the current progressions of innovation, for example, cloud computing, big data processing, and Internet of Things. LA additionally requires a concentrated measure of preparing assets to create applicable investigative outcomes. Be that as it may, the customary methodologies have been wasteful at handling LA difficulties.

Keywords

Big data E-learning Smart learning Smart systems Smart cities Learning Analytics Internet of Things 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Computers and InformationMansoura UniversityMansouraEgypt
  2. 2.Faculty of Computers and InformationCairo UniversityGizaEgypt
  3. 3.Scientific Research Group in Egypt (SRGE)CairoEgypt

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