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Title A Big Data Analytics Conceptual Framework For A Smart City: A Case Study
ID_Doc 448
Authors Gkontzis A.F.; Kalles D.; Paxinou E.; Tsoni R.; Verykios V.S.
Year 2022
Published Internet of Things
DOI http://dx.doi.org/10.1007/978-3-030-97818-1_16
Abstract Municipalities are called upon to adopt big data practices to organize and analyze the flow of the data that is collected in data silos, for the benefit of their citizens. In the Municipality of Patras, many of the existing smart services are not reclaimed to provide added value and benefits to the stakeholders. This occurs mainly due to the ineffective support and lack of knowledge and expertise in the big data and data analytics technologies that could be used for timely forecasts and effective interventions. This work presents a conceptual framework for the data integration of the existing and future smart systems of Patra’s municipality into an interoperability center. The aim is to normalize and organize the operation of the systems and also to optimize the interpretation of the data. Due to the specialized knowledge required for the understanding of the processes and the systems, the proposed conceptual framework should rely on one hand on the creativity of analysts and business knowledge and on the other hand on the application of automated discovery and evaluation of the induced patterns. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords Big data; Data analytics; Smart city; Smart city applications


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