Internet of Things and data mining: From applications to techniques and systems - Gaber - - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery - Wiley Online Library

The massive adoption of Internet of Things (IoT) opens a plethora of new use cases, applications, frameworks, and data processing architectures. A new ecosystem of supporting technologies is being developed in parallel with IoT to enable resource provisioning for resource‐constrained devices and systems (Baktir, Ozgovde, & Ersoy, 2017; Mao, You, Zhang, Huang, & Letaief, 2017; F. Wang, Hu, Hu, Zhou, & Zhao, 2017). The core of future IoT systems will be designed by integrating mobile edge computing systems, software‐defined networks, 5G, augmented reality, and data mining (including machine learning and artificial intelligence) to name a few (Baktir et al., 2017; Mao et al., 2017). Data mining is the process of discovering hidden knowledge patterns from raw data; therefore, the execution of knowledge discovery processes in IoT environments will leverage the utility of IoT systems. In essence, data mining will play a vital role in highly interactive and intelligent IoT systems.