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CIKM
2006
Springer
13 years 11 months ago
Topic evolution and social interactions: how authors effect research
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 2 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 8 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
NAR
2011
256views Computer Vision» more  NAR 2011»
12 years 10 months ago
COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
COSMIC (http://www.sanger.ac.uk/cosmic) curates comprehensive information on somatic mutations in human cancer. Release v48 (July 2010) describes over 136 000 coding mutations in ...
Simon A. Forbes, Nidhi Bindal, Sally Bamford, Char...
IDA
2010
Springer
13 years 4 months ago
Extraction of unexpected sentences: A sentiment classification assessed approach
Sentiment classification in text documents is an active data mining research topic in opinion retrieval and analysis. Different from previous studies concentrating on the developm...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet, ...