教師資料查詢 | 類別: 會議論文 | 教師: 周清江 Chichang Jou (瀏覽個人網頁)

標題:Spam E-mail Classification Based on the IFWB Algorithm
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
語言英文
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
國別馬來西亞
公開徵稿Y
出版型式紙本
出處Lecture Notes in Computer Science 7802, pp.314-324
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