Institutional Repository
| The discovery of user related rare sequential patterns of topics in the Internet document stream | |
| Hu, Zhongyi (1); Wang, Hongan (1); Zhu, Jiaqi (1) | |
| 2014 | |
| 会议名称 | 29th Annual ACM Symposium on Applied Computing, SAC 2014 |
| 页码 | 137-138 |
| 会议日期 | March 24, 2014 - March 28, 2014 |
| 会议地点 | Gyeongju, Korea, Republic of |
| 收录类别 | EI |
| 出版地 | Association for Computing Machinery |
| ISBN | 9781450324694 |
| 部门归属 | (1) Beijing Key Lab. of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, China |
| 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.; 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. |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/16574 |
| 专题 | 中国科学院软件研究所 |
| 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]. Association for Computing Machinery,2014:137-138. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论