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The clusiVAT framework was applied to two real life smart city applications to understand the underlying patterns hidden in the huge volumes of data to ...
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This paper introduces how Big Data analysis can be exploited to design and develop data-driven smart city services, and provides an overview on the most ...
Sep 3, 2019 · The data in smart cities are collected in great abundance from the real- time devices, sensors, video/audio, log files, networks, Web, ...
Dec 1, 2015 · As a result, many governments have started to utilize big data to support the development and sustainability of smart cities around the world.
The principal aim is to develop a model that can effectively analyze temporal patterns in urban traffic, uncovering underlying trends and factors influencing ...
Dec 10, 2024 · Notably, cities in this cluster do not incorporate big data applications in Transportation and Economy, business. Cluster 1 is characterized ...
Analysing the Application of a Smart City in Big Data Using K-Means Clustering Algorithm. DOI link for Analysing the Application of a Smart City in Big Data ...
Oct 22, 2024 · In this paper, we describe the state-of-the-art communication technologies and smart-based applications used within the context of smart cities.
The clustering method, which can be applied in IoT, groups sensor nodes into clusters with one node operating as the cluster head. This paper intends to ...
In the field of Smart City applications, the analysis of urban data to detect city hotspots, i.e., regions where urban events (such as pollution peaks, ...