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http://dx.doi.org/10.5391/JKIIS.2007.17.3.310

Design of intelligent fire detection / emergency based on wireless sensor network  

Kim, Sung-Ho (군산대학교 전자정보공학부)
Youk, Yui-Su (군산대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.3, 2007 , pp. 310-315 More about this Journal
Abstract
When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a u!;or preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or non-spam in a meaningful way. We also suggest a nor rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.
Keywords
data mining; anti-spam system; user preferred ontology; logic synthesis; rule pruning;
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