원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.2
2015.02
pp.235-242
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
E-mail classification is an effective method to manage, improve process efficiency and filter junk mail. The extraction of E-mail characteristic is the key problem of exactness classification. In order to make the classification has a more distinct division characteristic words, IDF (Inverse document frequency) is used to epurate further the characteristic. The procedure which users deal with E-mail is a natural half-supervised learning. By using this process, proposed algorithm corrects classification results, adjust classification rule to adapt the individuation requirement of user automatically. The evaluation experiments indicate the availability of proposed algorithm.
목차
Abstract
1. Introduction
2. Outline of the Method
2.1 Information Processing of E-mail head
2.2 Subject and Body Processing of E-mail
2.3 Classification Rules
2.4 Classification Processing
3. Classification Experiments
3.1 Classification Experiments
3.2 Evaluation of Experimental Results
3.3 Discussion
4. Conclusion
Acknowledgements
References
1. Introduction
2. Outline of the Method
2.1 Information Processing of E-mail head
2.2 Subject and Body Processing of E-mail
2.3 Classification Rules
2.4 Classification Processing
3. Classification Experiments
3.1 Classification Experiments
3.2 Evaluation of Experimental Results
3.3 Discussion
4. Conclusion
Acknowledgements
References
저자정보
참고문헌
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