Applications of Big Data Analytics and Machine Learning in the Internet of Things

Abstract

Nowadays, the efficiency of Machine Learning (ML) mechanisms in the Internet of Things (IoT) prompts the researchers and developers to use these emerging technology in different academic and real-world applications. IoT systems could be integrated with the ML-based approaches to map the real-world challenges into the artificial intelligence world. Machine learning mechanisms have been applied to several types of IoT applications, including data analysis, wireless communication, healthcare systems, industrial systems, and security. However, the extensive use of ML-based approaches on the internet of things has posed different challenges on systems, including lack of standard datasets, trust, and resource limitation. In this chapter, we review recent ML-based approaches on IoT systems, in which a set of common issues and challenges are discussed. Our review might provide new research directions about machine learning mechanisms on the internet of things for interested researchers and developers.