Journal of Engineering Research
Abstract
The Internet of Things (IoT) and cloud technologies have been the main focus of recent research, allowing for the accumulation of a vast amount of data generated from this diverse environment. These data include without any doubt priceless knowledge if could correctly discovered and correlated in an efficient manner. Data mining algorithms can be applied to the Internet of Things (IoT) to extract hidden information from the massive amounts of data that are generated by IoT and are thought to have high business value. In this paper, the most important data mining approaches covering classification, clustering, association analysis, time series analysis, and outlier analysis from the knowledge will be covered. Additionally, a survey of recent work in in this direction is included. Another significant challenges in the field are collecting, storing, and managing the large number of devices along with their associated features. In this paper, a deep look on the data mining for the IoT platforms will be given concentrating on real applications found in the literature
Recommended Citation
M. Sarhan, Amany
(2022)
"Data Mining in Internet of Things Systems: A Literature Review,"
Journal of Engineering Research: Vol. 6:
Iss.
5, Article 29.
Available at:
https://digitalcommons.aaru.edu.jo/erjeng/vol6/iss5/29