會議論文
| 學年 | 101 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2013-03-18 |
| 作品名稱 | Spam E-mail Classification Based on the IFWB Algorithm |
| 作品名稱（其他語言） | |
| 著者 | Jou, Chichang |
| 作品所屬單位 | 淡江大學資訊管理學系 |
| 出版者 | Springer |
| 會議名稱 | Asian Conference on Intelligent Information and Database Systems (ACIIDS 2013) |
| 會議地點 | Kuala Lumpur, Malaysia |
| 摘要 | The problem of spam e-mails has been addressed for some time. Most of the solutions are based on spam e-mail classification and filtering. However, the content of spam e-mails drifts with new concepts or social events. Thus, several spam classifiers perform effectively when their models are initially established, and their performances deteriorate with time. A learning mechanism is required to adjust the classification parameters for new and old e-mails. Because of the spread of spam e-mails, the number of spam e-mails is larger than that of legitimate e-mails. Therefore, most classifiers produce high recall for spam e-mails and low recall for legitimate e-mails. Based on the Bayesian algorithm, we propose an incremental forgetting weighted algorithm with a misclassification cost mechanism that extracts features by IGICF (Information Gain and Inverse Class Frequency) to address the problem of concept drift and data skew in spam e-mail classification. We implemented the algorithm and performed detailed tests on the effectiveness of the mechanism. |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | EI |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20130318~20130320 |
| 通訊作者 | |
| 國別 | MYS |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | Lecture Notes in Computer Science 7802, pp.314-324 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/101113 ) |