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 | |
| Conference Name | 29th Annual ACM Symposium on Applied Computing, SAC 2014 |
| Pages | 137-138 |
| Conference Date | March 24, 2014 - March 28, 2014 |
| Conference Place | Gyeongju, Korea, Republic of |
| Indexed Type | EI |
| Publish Place | Association for Computing Machinery |
| ISBN | 9781450324694 |
| Department | (1) Beijing Key Lab. of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, China |
| English Abstract | 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. |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16574 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment