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81
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PRICAI
2004
Springer
15 years 2 months ago
Text Classification Using Belief Augmented Frames
: In this paper we present our work on applying Belief Augmented Frames to the text classification problem. We formulate the problem in two alternative ways, and we evaluate the pe...
Colin Keng-Yan Tan
97
Voted
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
15 years 10 months ago
SNARE: a link analytic system for graph labeling and risk detection
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
15 years 10 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
90
Voted
CIKM
2006
Springer
15 years 1 months ago
Knowing a web page by the company it keeps
Web page classification is important to many tasks in information retrieval and web mining. However, applying traditional textual classifiers on web data often produces unsatisfyi...
Xiaoguang Qi, Brian D. Davison
SAC
2004
ACM
15 years 2 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo