DocumentCode
3493109
Title
An Event Detection Algorithm Based on Improved STC
Author
Qiu, Li-Qing ; Bin-Pang ; Zhao, Li-Ping
Author_Institution
Beihang Univ., Beijing
fYear
2008
fDate
6-8 April 2008
Firstpage
528
Lastpage
532
Abstract
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.
Keywords
Internet; document handling; information resources; pattern clustering; tree data structures; Web document clustering algorithm; news document event detection algorithm; suffix tree clustering; Clustering algorithms; Density functional theory; Distance measurement; Event detection; Merging; Mice; Text mining; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-1685-1
Electronic_ISBN
978-1-4244-1686-8
Type
conf
DOI
10.1109/ICNSC.2008.4525274
Filename
4525274
Link To Document