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» A New Heuristic for Optimizing Large Queries
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CVPR
2011
IEEE
13 years 5 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
EDBT
2004
ACM
122views Database» more  EDBT 2004»
14 years 7 months ago
Sketch-Based Multi-query Processing over Data Streams
Abstract. Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) ...
Alin Dobra, Minos N. Garofalakis, Johannes Gehrke,...
INTERNET
2010
283views more  INTERNET 2010»
13 years 6 months ago
Querying the Data Web: The MashQL Approach
 We propose a query formulation language, called MashQL for querying and mashing up structured data on the web. The novelty of  MashQL is that it does not require...
Mustafa Jarrar, Marios D. Dikaiakos
PODS
2005
ACM
136views Database» more  PODS 2005»
14 years 7 months ago
Context-sensitive program analysis as database queries
Program analysis has been increasingly used in software engineering tasks such as auditing programs for security vulnerabilities and finding errors in general. Such tools often re...
Monica S. Lam, John Whaley, V. Benjamin Livshits, ...
EDBT
2009
ACM
132views Database» more  EDBT 2009»
14 years 2 months ago
A novel approach for efficient supergraph query processing on graph databases
In recent years, large amount of data modeled by graphs, namely graph data, have been collected in various domains. Efficiently processing queries on graph databases has attracted...
Shuo Zhang, Jianzhong Li, Hong Gao, Zhaonian Zou