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JCST
2008
121views more  JCST 2008»
13 years 5 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
13 years 6 months ago
Bursty Feature Representation for Clustering Text Streams
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...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
ADMA
2007
Springer
133views Data Mining» more  ADMA 2007»
13 years 11 months ago
Clustering Massive Text Data Streams by Semantic Smoothing Model
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
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...
CIKM
2006
Springer
13 years 8 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...