Title :
An Event Detection Algorithm Based on Improved STC
Author :
Qiu, Li-Qing ; Bin-Pang ; Zhao, Li-Ping
Author_Institution :
Beihang Univ., Beijing
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;
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
DOI :
10.1109/ICNSC.2008.4525274
