50 search results - page 1 / 10 » Bursty Feature Representation for Clustering Text Streams |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
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...
ACL
2012
11 years 7 months ago
2012
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...
ESANN
2007
13 years 6 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...