Back to Search Start Over

Semi-automatic Hot Event Detection.

Authors :
Li, Xue
Zaïane, Osmar R.
Li, Zhanhuai
He, Tingting
Qu, Guozhong
Li, Siwei
Tu, Xinhui
Zhang, Yong
Ren, Han
Source :
Advanced Data Mining & Applications (9783540370253); 2006, p1008-1016, 9p
Publication Year :
2006

Abstract

In this paper, we propose a method to detect hot event automatically. We use all the web pages from Jan 1st 2005 to Dec 31st 2005, and detect new events by using incremental TF-IDF model and incremental cluster algorithm. Based on analysis of the attributes of events, we propose a method to measure the activity of events, then filter and sort the event according to the activity of events; finally a hot event list can be derived. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540370253
Database :
Complementary Index
Journal :
Advanced Data Mining & Applications (9783540370253)
Publication Type :
Book
Accession number :
32864358
Full Text :
https://doi.org/10.1007/11811305_110