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Big Data Analytics Towards a Framework for a Smart City

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 83))

Abstract

While collecting and gathering the data from various domains of a city, one never fail to criticize the city officials as to how they have improved the conditions of livability, economic development and sustainability. A city is always taking initiatives to augment the existing framework or to implement a new framework altogether for transportation system, solid waste management, water supply system and other mission specific domains by gathering relevant data. This process of endless growth of data marts and datasets and analyzing it to gain valuable insight into the domain is being known by the business society today as Big Data Analytics. In our research work, we discussed the challenges and hurdles that are faced during the development of a smart city. Along the way, we will also make use of some of the recent advances in cloud computing, sensing technologies and provide a framework for the smart city using internet of things which can effectively contribute in the enhancement of current models of smart city. We discussed the components of our framework which is proposed for the city, and analytics for large datasets with their applications in various domains.

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Correspondence to Devesh Kumar Srivastava .

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Srivastava, D.K., Singh, A. (2018). Big Data Analytics Towards a Framework for a Smart City. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1. ICTIS 2017. Smart Innovation, Systems and Technologies, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-319-63673-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-63673-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63672-6

  • Online ISBN: 978-3-319-63673-3

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