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http://dx.doi.org/10.3745/KIPSTB.2003.10B.7.853

Design and Implementation of Web Mail Filtering Agent for Personalized Classification  

Jeong, Ok-Ran (이화여자대학교 대학원 컴퓨터학과)
Cho, Dong-Sub (이화여자대학교 컴퓨터학과)
Publication Information
The KIPS Transactions:PartB / v.10B, no.7, 2003 , pp. 853-862 More about this Journal
Abstract
Many more use e-mail purely on a personal basis and the pool of e-mail users is growing daily. Also, the amount of mails, which are transmitted in electronic commerce, is getting more and more. Because of its convenience, a mass of spam mails is flooding everyday. And yet automated techniques for learning to filter e-mail have yet to significantly affect the e-mail market. This paper suggests Web Mail Filtering Agent for Personalized Classification, which automatically manages mails adjusting to the user. It is based on web mail, which can be logged in any time, any place and has no limitation in any system. In case new mails are received, it first makes some personal rules in use of the result of observation ; and based on the personal rules, it automatically classifies the mails into categories according to the contents of mails and saves the classified mails in the relevant folders or deletes the unnecessary mails and spam mails. And, we applied Bayesian Algorithm using Dynamic Threshold for our system's accuracy.
Keywords
Personalized Classification; Web Mail Filtering Agent; Dynamic Threshold;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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