The discovery of user related rare sequential patterns of topics in the Internet document stream
文献类型：会议论文
| 作者 | Hu, Zhongyi (1) ; Wang, Hongan (1) ; Zhu, Jiaqi (1) |
| 出版日期 | 2014 |
| 会议名称 | 29th Annual ACM Symposium on Applied Computing, SAC 2014 |
| 会议日期 | March 24, 2014 - March 28, 2014 |
| 会议地点 | Gyeongju, Korea, Republic of |
| 页码 | 137-138 |
| 中文摘要 | On the Internet, plain text documents created and viewed by users constitute ever changing document streams. Lots of the literature is devoted to topic modeling, while the sequential patterns of topics in document streams are ignored. In this paper, we deal with the problem of mining user related rare sequential patterns of topics in the Internet document streams, which can be used in many fields, such as real-time user behavioral monitoring on the Internet. We propose an approach to discover rare patterns based on the temporal and probabilistic information of topics. Experiments show that the proposed approach can discover user related rare patterns of topic effectively. Copyright 2014 ACM. |
| 英文摘要 | On the Internet, plain text documents created and viewed by users constitute ever changing document streams. Lots of the literature is devoted to topic modeling, while the sequential patterns of topics in document streams are ignored. In this paper, we deal with the problem of mining user related rare sequential patterns of topics in the Internet document streams, which can be used in many fields, such as real-time user behavioral monitoring on the Internet. We propose an approach to discover rare patterns based on the temporal and probabilistic information of topics. Experiments show that the proposed approach can discover user related rare patterns of topic effectively. Copyright 2014 ACM. |
| 收录类别 | EI |
| 会议录出版地 | Association for Computing Machinery |
| 语种 | 英语 |
| ISBN号 | 9781450324694 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16574]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Hu, Zhongyi ,Wang, Hongan ,Zhu, Jiaqi . The discovery of user related rare sequential patterns of topics in the Internet document stream[C]. 见:29th Annual ACM Symposium on Applied Computing, SAC 2014. Gyeongju, Korea, Republic of. March 24, 2014 - March 28, 2014. |
入库方式： OAI收割
来源：软件研究所
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