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Intelligent Service Reasoning Model Using Data Mining In Smart Home Environments  

Kang, Myung-Seok (연세대학교 전기전자공학과 디지털정보처리 연구실)
Kim, Hag-Bae (연세대학교 전기전자공학과 디지털정보처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.12B, 2007 , pp. 767-778 More about this Journal
Abstract
In this paper, we propose a Intelligent Service Reasoning (ISR) model using data mining in smart home environments. Our model creates a service tree used for service reasoning on the basis of C4.5 algorithm, one of decision tree algorithms, and reasons service that will be offered to users through quantitative weight estimation algorithm that uses quantitative characteristic rule and quantitative discriminant rule. The effectiveness in the performance of the developed model is validated through a smart home-network simulation.
Keywords
ISR (Intelligent Service Reasoning); Data Mining; Smart Home;
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  • Reference
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