An event detection algorithm based on improved STC

被引：0
|
作者：
Qiu, Li-Qing [1 ]
Bin-Pang [1 ]
Zhao, Li-Ping [1 ]
机构：
[1] Beihang Univ, State Key Lab Software Dev Environm, Beijing 100083, Peoples R China
来源：
PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to overcome some shortcomings of traditional algorithms in event detection, we propose an event detection algorithm based on improved STC (suffix tree clustering), which detects significant events from large volumes of news and presents the main content of the events to the user as summaries. The experimental results on TDT indicate that the new algorithm is an effective document clustering algorithm.
引用
收藏
页码：528 / 532
页数：5
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