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» Statistical Relational Learning for Document Mining
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IALP
2010
14 years 4 months ago
Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
With more and more reviews on the web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 7 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
71
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ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
15 years 4 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
15 years 3 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
BMCBI
2008
185views more  BMCBI 2008»
14 years 9 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...