Improving the Accuracy of Chinese Spam E-mail Classification
碩士 === 國立交通大學 === 電機資訊學院碩士在職專班 === 93 === Spam is now become a serious threat to the Internet. This thesis examines the problems and impact caused by spam. The thesis also examined methods and techniques to generate spam, and examined methods to classify spam. There are many filtering algorithms int...
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| Format: | Others |
| Language: | en_US |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/48747435795216659573 |
| Summary: | 碩士 === 國立交通大學 === 電機資訊學院碩士在職專班 === 93 === Spam is now become a serious threat to the Internet. This thesis examines the problems and impact caused by spam. The thesis also examined methods and techniques to generate spam, and examined methods to classify spam. There are many filtering algorithms introduced to fight spam. One of the most popular filtering algorithms is statistical based filtering, which is based on Bayesian classification theorem. However, these algorithms focus on the English e-mails. This thesis presents a Chinese e-mail classifier, which is based on Bayesian classifier to classify Chinese spam e-mails. The experiment results show that the proposed Chinese e-mail classifier could perform a high accuracy.
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