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SIGIR
2009
ACM
14 years 1 months ago
A relevance-based topic model for news event tracking
Event tracking is the task of discovering temporal patterns of popular events from text streams. Existing approaches for event tracking have two limitations: scalability and inabi...
Viet Ha-Thuc, Yelena Mejova, Christopher Harris, P...
WSDM
2009
ACM
117views Data Mining» more  WSDM 2009»
14 years 1 months ago
Query by document
We are experiencing an unprecedented increase of content contributed by users in forums such as blogs, social networking sites and microblogging services. Such abundance of conten...
Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G...
ICDE
2010
IEEE
154views Database» more  ICDE 2010»
13 years 6 months ago
Processing online news streams for large-scale semantic analysis
— While Internet has enabled us to access a vast amount of online news articles originating from thousands of different sources, the human capability to read all these articles h...
Milos Krstajic, Florian Mansmann, Andreas Stoffel,...
ICMCS
1999
IEEE
94views Multimedia» more  ICMCS 1999»
13 years 11 months ago
Multi-Phase Interval Caching for a News on Demand Server
In this paper, we propose a buffer cache algorithm to build a cost effective storage server for real time news objects. In a News On Demand Server, the number of concurrent stream...
Yong Woon Park, Won Il Seo, Ki-Dong Chung
IDEAL
2007
Springer
14 years 22 days ago
Mining Disjunctive Sequential Patterns from News Stream
Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorith...
Kazuhiro Shimizu, Isamu Shioya, Takao Miura