Data Analytics in Sensing Devices

Devices like sensors, Internet-of-things (IoT), and Radio frequency identification (RFID) generate enormous amounts of data. The machines are a part of several environments. The information is collected forms a large database. The collection investigates to gain better insight into the current status of the sensed entity or environment. The knowledge set aims to improve the system. It helps to obtain good profit and makes future predictions. Several metrics are used to conduct the examination.



The book discusses the technology architecture, usage, and evaluation using various metrics. The different algorithms used in the functioning of the contribution are summarized. The writing also suggests the future scope of the work in diverse applications.



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