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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
CIKM
2011
Springer
14 years 6 months ago
An efficient method for using machine translation technologies in cross-language patent search
Topics in prior-art patent search are typically full patent applications and relevant items are patents often taken from sources in different languages. Cross language patent retr...
Walid Magdy, Gareth J. F. Jones
SIGMOD
2009
ACM
201views Database» more  SIGMOD 2009»
16 years 6 months ago
Cost based plan selection for xpath
We present a complete XPath cost-based optimization and execution framework and demonstrate its effectiveness and efficiency for a variety of queries and datasets. The framework i...
Haris Georgiadis, Minas Charalambides, Vasilis Vas...
BTW
2005
Springer
113views Database» more  BTW 2005»
16 years 5 days ago
A Learning Optimizer for a Federated Database Management System
: Optimizers in modern DBMSs utilize a cost model to choose an efficient query execution plan (QEP) among all possible ones for a given query. The accuracy of the cost estimates de...
Stephan Ewen, Michael Ortega-Binderberger, Volker ...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 8 months ago
Confidence-Aware Join Algorithms
In uncertain and probabilistic databases, confidence values (or probabilities) are associated with each data item. Confidence values are assigned to query results based on combinin...
Parag Agrawal, Jennifer Widom