Intelligent Service Reasoning Model Using Data Mining In Smart Home Environments 


Vol. 32,  No. 12, pp. 767-778, Dec.  2007


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  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.

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  Cite this article

[IEEE Style]

M. Kang and H. Kim, "Intelligent Service Reasoning Model Using Data Mining In Smart Home Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 12, pp. 767-778, 2007. DOI: .

[ACM Style]

Myung-seok Kang and Hag-bae Kim. 2007. Intelligent Service Reasoning Model Using Data Mining In Smart Home Environments. The Journal of Korean Institute of Communications and Information Sciences, 32, 12, (2007), 767-778. DOI: .

[KICS Style]

Myung-seok Kang and Hag-bae Kim, "Intelligent Service Reasoning Model Using Data Mining In Smart Home Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 12, pp. 767-778, 12. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880