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Semi-automatic Hot Event Detection.
- 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