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» Text Mining at the Term Level
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SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
16 years 3 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
143
Voted
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
16 years 1 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
130
Voted
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
15 years 10 months ago
Adaptive subjective triggers for opinionated document retrieval
This paper proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigg...
Kazuhiro Seki, Kuniaki Uehara
152
Voted
MM
2006
ACM
167views Multimedia» more  MM 2006»
15 years 9 months ago
Image annotation by large-scale content-based image retrieval
Image annotation has been an active research topic in recent years due to its potentially large impact on both image understanding and Web image search. In this paper, we target a...
Xirong Li, Le Chen, Lei Zhang, Fuzong Lin, Wei-Yin...
154
Voted
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 7 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...