Authors: A.K. Khurana, Rahul Chundwat, Piyush Aggarwal
Abstract: The Internet of Things (IoT) has ushered in an era of unprecedented data generation. IoT devices, ranging from sensors and wearables to smart appliances, collect vast amounts of information continuously. To unlock the full potential of IoT, effective data analytics is essential. This paper delves into the role of big data analytics in IoT, examining the processes, challenges, and implications associated with the analysis of data generated by IoT devices. It explores machine learning algorithms, data processing challenges, and the crucial considerations surrounding privacy. By understanding the synergy between IoT and data analytics, organizations and researchers can harness the transformative power of IoT to drive innovation and improve decision-making across various domains.
Keywords: IoT, Big Data, Data Analytics, Machine Learning, Data Processing, Privacy, IoT Devices, Data Collection, IoT Applications.
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