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.
CITATION STYLE
Elhoseny, H., Elhoseny, M., Riad, A. M., & Hassanien, A. E. (2018). A Framework for Big Data Analysis in Smart Cities. In Advances in Intelligent Systems and Computing (Vol. 723, pp. 405–414). Springer Verlag. https://doi.org/10.1007/978-3-319-74690-6_40
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