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Title:
The discovery of user related rare sequential patterns of topics in the Internet document stream
Author: Hu, Zhongyi (1) ; Wang, Hongan (1) ; Zhu, Jiaqi (1)
Conference Name: 29th Annual ACM Symposium on Applied Computing, SAC 2014
Conference Date: March 24, 2014 - March 28, 2014
Issued Date: 2014
Conference Place: Gyeongju, Korea, Republic of
Publish Place: Association for Computing Machinery
Indexed Type: EI
ISBN: 9781450324694
Department: (1) Beijing Key Lab. of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, China
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.
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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16574
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
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.
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