User Behavior Analysis Using IoT Data

While the number of connected objects in world Internet Thing (IoT) is increasing, an efficient and intelligent solution to exploit huge amount generated data does not exist. Smart homes powered by IoT devises are able automate monitor every day activities home owners, improve life quality especially for elderly disabled people. In this paper, we propose a machine learning based model order analyze provide data-driven services. Hence, will make it possible extract meaningful information from decisions smart environments. Then, proposed evaluated using collected devices on different communication protocols.