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» Fusing Approximate Knowledge from Distributed Sources
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SIGCPR
2000
ACM
173views Hardware» more  SIGCPR 2000»
13 years 10 months ago
Hollywood: a business model for the future?
This paper elucidates an emergent theory of organizational structure, process and leadership which the author believes will characterize the Internet based workplace of the future...
Charles E. Grantham
SIGMOD
2010
ACM
250views Database» more  SIGMOD 2010»
13 years 5 months ago
Expressive and flexible access to web-extracted data: a keyword-based structured query language
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
Jeffrey Pound, Ihab F. Ilyas, Grant E. Weddell
AND
2010
13 years 3 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
VEE
2012
ACM
252views Virtualization» more  VEE 2012»
12 years 1 months ago
libdft: practical dynamic data flow tracking for commodity systems
Dynamic data flow tracking (DFT) deals with tagging and tracking data of interest as they propagate during program execution. DFT has been repeatedly implemented by a variety of ...
Vasileios P. Kemerlis, Georgios Portokalidis, Kang...
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 6 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...