Modeling DNS Activities Based on Probabilistic Latent Semantic Analysis
文献类型：会议论文
| 作者 | 尉迟学彪 |
| 出版日期 | 2010 |
| 会议名称 | Advanced Data Mining and Applications |
| 会议日期 | 2010 |
| 中文摘要 | Traditional Web usage mining techniques aim at discovering usage patterns from Web data at the page level, while little work is engaged in at some upper level. In this paper, we propose a novel approach to the characterization of Internet users’ preference and interests at the domain name level. By summarizing Internet user’s domain name access behaviors as the cooccurrences of users and targeting domain names, an aspect model is introduced to classify users and domain names into various groups according to their cooccurrences. Meanwhile, each group is characterized by extracting the property of characteristic users and domain names. Experimental results on real-world data sets show that our approach is effective in which some meaningful groups are identified. Thus, our approach could be used for detecting unusual behaviors on the Internet at the domain name level, which can alleviate the work of searching the joint space of users and domain names. |
| 收录类别 | EI收录 |
| 会议录 | Advanced Data Mining and Applications
 |
| 学科主题 | 计算机软件 |
| 语种 | 中文 |
| 源URL | [http://ircnic.ac.cn/handle/311056/1788]  |
| 专题 | 计算机网络信息中心_中国科学院计算机网络信息中心(2012年前)_会议论文 |
| 推荐引用方式 GB/T 7714 | 尉迟学彪. Modeling DNS Activities Based on Probabilistic Latent Semantic Analysis[C]. 见:Advanced Data Mining and Applications. 2010. |
入库方式： OAI收割
来源：计算机网络信息中心
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