With the increase in growth of technologies and communications all over the world there is a rise in IOT based internet connected sensor devices. With the rise of IOT devices, all the applications work smarter and they are time efficient. Since the IOT sensor devices produce large amount of data per day they generate big data in the form of volume, velocity and variance. The processing and the analysis of this big data intelligently, help in developing smart applications. In this paper, we discuss about the smarter big data analysis with the use case of smart parking system using machine learning algorithms and IOT. The CNN machine learning algorithms is used for the smart occupancy of parking slots.
CITATION STYLE
Betty Jane, J., & Ganesh, E. N. (2020). Big Data and Internet of Things for Smart Data Analytics Using Machine Learning Techniques. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 49, pp. 213–223). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-43192-1_24
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