Abstract
In recent years, intellectualized technology has gradually matured, and it has been applied to all aspects of life. Among them, the emerging industry represented by smart home is rising, but the current smart home industry cannot meet people’s demand because of the immature technology, high cost for maintenance and price. In the situation, this paper presents a decision method for user’s behaviours which based on the C4.5 algorithm, selecting samples from data collected by intelligent home system, analysing and processing samples to generate a decision tree. According to the user’s living habits, the decision tree is used to help users make decisions, so as to provide users with more intelligent and efficient services.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Wireless Information Networks
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
