A study on the Filtering of Spam E-mail using n-Gram indexing and Support Vector Machine |
서정우
(고려대학교)
손태식 (고려대학교) 서정택 (국가보안기술연구소) 문종섭 (고려대학교) |
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Properties of Support Vector Machines
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Learning Rules that Classify E-Mail
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Boosting Trees for Anti-Spam Email Filtering
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Learning to Filter Spam E0Mail:A Comparison of a Naive Bayesian and a Memory-Based Approach
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스팸메일, 너, 나가있어!
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MySVM-Manual
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경험적 정보를 이용한 k-nn기반 한국어 문서 분류기의 개선
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Text Categorization with Support Vector Machine:Learning with Many Relevant Features
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Support Vector Networks
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모멘트를 이용한 Support Vector Machines의 학습성능 개선
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과학기술학회마을 |
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한글 문서의 효과적인 검색을 위한 n-Gram 기반의 색인 방법
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과학기술학회마을 |
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An Experimental Comparison of Naive Bayesian and Keyward-Based Anto-Spam Filtering with Personal E-mail Messages
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Simple Learning Algorithms for Training report
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a Comparative Study of Classification Based Personal E-mail Filtering
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A Bayesian Appriach to Filtering Junk E-Mail
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