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#Announcement(Startup) #Invitation #Survey [ via IoTGroup ]
#Organizer : IEEE #DueDateTime : 1 Nov 2020 #StartDateTime : 15 April 2021
The Internet of Things (IoT) enables the interconnection of new cyber-physical devices that generate significant traffic of distributed, heterogeneous and dynamic data at the network edge. Since several IoT applications demand for short response times (e.g., industrial applications, emergency management, real-time systems, health care systems) and, at the same time, rely on resource-constrained devices, the adoption of traditional Data Mining techniques is neither effective nor efficient. Therefore, conventional Data Mining techniques need to be adjusted for optimizing response times, energy consumption and data traffic while still providing adequate accuracy as required by the IoT applications. In this Special Issue, new Data Mining approaches particularly tailored for the IoT scenario will be investigated, in particular with respect to the promising, emerging novel distributed computing paradigm of Edge Computing. The focus of the special issue is therefore on high-quality original papers aiming at demonstrating effective and efficient Data Mining approaches at the IoT Edge, which at the same time considers data, device and infrastructure perspectives and related issues. It is worth noting that submitted papers need to show significant experimental results based on open dataset (or dataset to be made open along with the papers) and/or real experimentations, possibly complemented by simulation.
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Working BoT 0.899999999 Build 02 April 2020
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