图 书 馆
2007年网络垃圾邮件挑战第二轨道——安全计算公司研究Web Spam Challenge 2007 Track II - Secure Computing Corporation Research |
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| 课程网址: | http://videolectures.net/ecml07_krasser_wsc/ |
| 主讲教师: | Sven Krasser |
| 开课单位: | 安全计算公司 |
| 开课时间: | 2008-01-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | To discriminate spam Web hosts/pages from normal ones, text-based and link-based data are provided forWeb Spam Challenge Track II. Given a small part of labeled nodes (about 10%) in aWeb linkage graph, the challenge is to predict other nodes’ class to be spam or normal.We extract features from link-based data, and then combine them with text-based features. After feature scaling, Support Vector Machines (SVM) and Random Forests (RF) are modeled in the extremely high dimensional space with about 5 million features. Stratified 3-fold cross validation for SVM and out-of-bag estimation for RF are used to tune the modeling parameters and estimate the generalization capability. On the small corpus for Web host classification, the best F-Measure value is 75.46% and the best AUC value is 95.11%. On the large corpus for Web page classification, the best F-Measure value is 90.20% and the best AUC value is 98.92%. |
| 关 键 词: | 垃圾邮件; 跟踪II; 随机森林 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-23：lxf |
| 阅读次数: | 46 |