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» Efficient Discovery of Confounders in Large Data Sets
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COMAD
2008
13 years 10 months ago
Concurrency Control in Distributed MRA Index Structure
Answering aggregate queries like sum, count, min, max over regions containing moving objects is often needed for virtual world applications, real-time monitoring systems, etc. Sin...
Neha Singh, S. Sudarshan
ICDE
2001
IEEE
128views Database» more  ICDE 2001»
14 years 10 months ago
Counting Twig Matches in a Tree
We describe efficient algorithms for accurately estimating the number of matches of a small node-labeled tree, i.e., a twig, in a large node-labeled tree, using a summary data str...
Zhiyuan Chen, H. V. Jagadish, Flip Korn, Nick Koud...
TVCG
2008
112views more  TVCG 2008»
13 years 8 months ago
VisComplete: Automating Suggestions for Visualization Pipelines
Building visualization and analysis pipelines is a large hurdle in the adoption of visualization and workflow systems by domain scientists. In this paper, we propose techniques to ...
David Koop, Carlos Eduardo Scheidegger, Steven P. ...
VLDB
1990
ACM
179views Database» more  VLDB 1990»
14 years 1 months ago
On Indexing Line Segments
In several image applications, it is necessary to retrieve specific line segments born a potentially very large set. In this paper, we consider the problem of indexing straight li...
H. V. Jagadish
ACL
2001
13 years 10 months ago
Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning
Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, loc...
Hideki Isozaki