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» Informative sampling for large unbalanced data sets
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139
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WSDM
2009
ACM
176views Data Mining» more  WSDM 2009»
15 years 10 months ago
The web changes everything: understanding the dynamics of web content
The Web is a dynamic, ever changing collection of information. This paper explores changes in Web content by analyzing a crawl of 55,000 Web pages, selected to represent different...
Eytan Adar, Jaime Teevan, Susan T. Dumais, Jonatha...
PUC
2007
109views more  PUC 2007»
15 years 3 months ago
Recognizing context for annotating a live life recording
Abstract In the near future, it will be possible to continuously record and store the entire audio–visual lifetime of a person together with all digital information that the pers...
Nicky Kern, Bernt Schiele, Albrecht Schmidt
145
Voted
SIGIR
2009
ACM
15 years 10 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
138
Voted
BMCBI
2005
150views more  BMCBI 2005»
15 years 3 months ago
Discover protein sequence signatures from protein-protein interaction data
Background: The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-prot...
Jianwen Fang, Ryan J. Haasl, Yinghua Dong, Gerald ...
ECAI
2008
Springer
15 years 5 months ago
Using Natural Language Generation Technology to Improve Information Flows in Intensive Care Units
In the drive to improve patient safety, patients in modern intensive care units are closely monitored with the generation of very large volumes of data. Unless the data are further...
Jim Hunter, Albert Gatt, François Portet, E...