Sciweavers

ACL
2012
11 years 7 months ago
A Novel Burst-based Text Representation Model for Scalable Event Detection
Mining retrospective events from text streams has been an important research topic. Classic text representation model (i.e., vector space model) cannot model temporal aspects of d...
Xin Zhao, Rishan Chen, Kai Fan, Hongfei Yan, Xiaom...
ACL
2012
11 years 7 months ago
Finding Bursty Topics from Microblogs
Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Al...
Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim
SDM
2007
SIAM
103views Data Mining» more  SDM 2007»
13 years 6 months ago
A System for Keyword Search on Textual Streams
An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword qu...
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...
ICDCS
2008
IEEE
13 years 11 months ago
Analysis of Maximum Executable Length for Detecting Text-Based Malware
The possibility of using purely text stream (keyboardenterable) as carrier of malware is under-researched and often underestimated. A text attack can happen at multiple levels, fr...
P. Kumar Manna, Sanjay Ranka, Shigang Chen
SIGIR
2009
ACM
13 years 11 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
136views Data Mining» more  WSDM 2009»
13 years 11 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
14 years 5 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...