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115
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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 29 days ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
71
Voted
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
16 years 29 days ago
Mining multi-faceted overviews of arbitrary topics in a text collection
A common task in many text mining applications is to generate a multi-faceted overview of a topic in a text collection. Such an overview not only directly serves as an informative...
Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Sc...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 29 days ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
103
Voted
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
16 years 29 days ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
115
Voted
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 29 days ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
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