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120
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SSDBM
2006
IEEE
122views Database» more  SSDBM 2006»
15 years 9 months ago
Probabilistic Ranking Queries on Gaussians
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
Christian Böhm, Alexey Pryakhin, Matthias Sch...
155
Voted
DMKD
2004
ACM
133views Data Mining» more  DMKD 2004»
15 years 9 months ago
Mining complex matchings across Web query interfaces
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. As a new attempt, this p...
Bin He, Kevin Chen-Chuan Chang, Jiawei Han
123
Voted
STOC
1993
ACM
117views Algorithms» more  STOC 1993»
15 years 7 months ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns
163
Voted
PVLDB
2008
163views more  PVLDB 2008»
15 years 3 months ago
C-DEM: a multi-modal query system for Drosophila Embryo databases
The amount of biological data publicly available has experienced an exponential growth as the technology advances. Online databases are now playing an important role as informatio...
Fan Guo, Lei Li, Christos Faloutsos, Eric P. Xing
193
Voted
ICDE
2012
IEEE
269views Database» more  ICDE 2012»
13 years 6 months ago
A Deep Embedding of Queries into Ruby
—We demonstrate SWITCH, a deep embedding of relational queries into RUBY and RUBY on RAILS. With SWITCH, there is no syntactic or stylistic difference between RUBY programs that ...
Torsten Grust, Manuel Mayr