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» Practical Preference Relations for Large Data Sets
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SIGMOD
2002
ACM
127views Database» more  SIGMOD 2002»
16 years 5 months ago
Approximate XML joins
XML is widely recognized as the data interchange standard for tomorrow, because of its ability to represent data from a wide variety of sources. Hence, XML is likely to be the for...
Sudipto Guha, H. V. Jagadish, Nick Koudas, Divesh ...
PODS
2008
ACM
109views Database» more  PODS 2008»
16 years 5 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
BMCBI
2010
86views more  BMCBI 2010»
15 years 5 months ago
Fast motif recognition via application of statistical thresholds
Background: Improving the accuracy and efficiency of motif recognition is an important computational challenge that has application to detecting transcription factor binding sites...
Christina Boucher, James King
137
Voted
LREC
2008
83views Education» more  LREC 2008»
15 years 7 months ago
More Semantic Links in the SIMPLE-CLIPS Database
Notwithstanding its acknowledged richness, the SIMPLE semantic model does not offer the representational vocabulary for encoding some conceptual links holding between events and t...
Nilda Ruimy, Antonio Toral
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 3 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li