Journal of King Saud University: Computer and Information Sciences | |
Internet of things and data mining: An application oriented survey | |
Rameez R. Chowdhary1  Priyank Sunhare2  Manju K. Chattopadhyay3  | |
[1] Department of Electronics and Telecommunication Engineering, Institute of Engineering and Technology, Devi Ahilya University, Indore, India-452017;Department of Electronics and Telecommunication Engineering, Government Polytechnic College, Dewas 455001, India;School of Electronics, Devi Ahilya University, Khandwa Road, Indore, M.P. 452017, India; | |
关键词: Internet of things; Data mining; Big data; Smart home; Ambient assistant living; Smart healthcare; | |
DOI : | |
来源: DOAJ |
【 摘 要 】
Advancement in the fields of electronic communication, data processing, and internet technologies enable easy access to and interaction with a variety of physical devices throughout the globe. Our whole world is enveloped by a blanket of innumerable smart devices equipped with the sensors and actuators. Extensive research on the Internet of things (IoT) with cloud technologies, make it possible to accumulate tremendous data created from this heterogeneous environment and transform it into precious knowledge by utilizing data mining technologies. Furthermore, this generated knowledge will play a key role in intelligent decision making, system performance boosting, and optimum management of resources and services. With this background, this paper presents a systematic and detailed review of various data mining techniques employed in the large and small scale IoT applications to formulate an intelligent environment. It also presents an overview of cloud-assisted IoT Big data mining system to better understand the importance of data mining for an IoT environment.
【 授权许可】
Unknown