Hadoop-Based Analysis for Large-Scale Click-Through Patterns in 4G Network
文献类型：会议论文
| 作者 | Wang Shuqiang; Shen Yanyan; Hu Jinxing; Xuan Zhe; Lu Zhe |
| 出版日期 | 2015 |
| 会议名称 | Wireless Algorithms, Systems, and Applications（WASA） |
| 会议地点 | Qufu,山东 |
| 英文摘要 | In this work, we focus on understanding what happens under the hood of HTTP traffic. We proposed a systematic approach to reconstruct users click-through patterns in web starting from raw network data. We validated the proposed method using a synthesized network traffic data set and a real-world 4G network traffic data set. The precision calculated by the proposed model is 93.7 % and the recall is 91.6 %. The experiment results on the real-world 4G network traffic data show that the click-through stream of 4G network is more deeper than that of 3G network. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6977]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Wang Shuqiang,Shen Yanyan,Hu Jinxing,et al. Hadoop-Based Analysis for Large-Scale Click-Through Patterns in 4G Network[C]. 见:Wireless Algorithms, Systems, and Applications（WASA）. Qufu,山东. |
入库方式： OAI收割
来源：深圳先进技术研究院
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