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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 7 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
ICCSA
2005
Springer
15 years 3 months ago
Semantic Annotation of Biomedical Literature Using Google
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical informa...
Rune Sætre, Amund Tveit, Tonje Strommen Stei...
ACL
2000
14 years 11 months ago
Headline Generation Based on Statistical Translation
Extractive summarization techniques cannot generate document summaries shorter than a single sentence, something that is often required. An ideal summarization system would unders...
Michele Banko, Vibhu O. Mittal, Michael J. Witbroc...
SEMWEB
2009
Springer
15 years 4 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
15 years 10 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe