Maaloul KamelLejdel Brahim2024-05-302024-05-302020-02-23Maaloul, Kamel. Lejdel Brahim. Big Data Analysis for Smart Cities. International PluridisciplinaryPhD Meeting (IPPM’20). 1st Edition, February23-26, 2020. University Of Eloued. [Visited in ../../….]. Available from [copy the link here].https://dspace.univ-eloued.dz/handle/123456789/32847InterventionThe emergence of smart cities aims to solve the problems posed by the continuous development of urbanization and the increasing population density in cities. To meet these challenges, governments and policy-makers are undertaking smart city projects aimed at sustainable economic growth and a better quality of life, for both residents and visitors. Information and communication technology (ICT) is a key technology for the development of cities. However, ICT applications generate huge amounts of data called Big data. The extraction of information from Big Data is a growing trend in information systems aimed to provide better services to citizens and supporting decision-making processes. However, to extract information useful for the development of intelligent information services at the city level, the datasets generated from various areas of the city must be integrated and analyzed. This process is usually called big data analysis. The study of the literature shows a growing interest in the exploitation of big data analysis applications in general and in the field of smart cities in particular. However, in-depth discussions on the essential characteristics of big data analysis frameworks meeting the requirements of smart cities remain necessary. The objective of this project is to propose a new framework that allows the analysis of big data to manage smart cities.enBig DataVilles intelligentesTICAnalyse des donnéesIntervention