| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2010-03-19 |
| タイトル |
|
|
タイトル |
A Spam Filtering Method Learning from Web Browsing Behavior |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者 |
高下, 大輝
糸川, 剛
北須賀, 輝明
有次, 正義
|
| 内容記述 |
|
|
内容記述 |
In this paper a spam filtering method is proposed. We focus on user behavior that most email users browse the Web. The method reduces troublesome maintenance of the spam filter, since the filter learns from Web browsing behavior in the background. The method uses Web browsing behavior of each user to learn ham words. Ham words are picked up from browsed Web pages using TF-IDF and stored in the database called ham words list. For each received email, the method extracts keywords from the email, including Web pages of the URLs. If some keywords are in the ham words list, the email is treated as a ham. In our experiments, several spam emails which cannot be detected by a Bayesian filter are detected as spams. |
| 書誌情報 |
en : Knowledge-Based Intelligent Information and Engineering Systems
巻 5178,
p. 774-781,
発行日 2008-09-20
|
| ISSN |
|
|
収録物識別子 |
1611-3349 |
| DOI |
|
|
関連タイプ |
isVersionOf |
|
|
関連識別子 |
10.1007/978-3-540-85565-1_96 |
| 著者版フラグ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 日本十進分類法 |
|
|
主題Scheme |
NDC |
|
主題 |
548 |
| 出版者 |
|
|
出版者 |
Springer Verlag (Germany) |
|
言語 |
en |
kes2008-is22-takashita-fina_r.pdf (898.9 kB)
