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» Probabilistic Ranking Queries on Gaussians
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EDBT
2010
ACM
135views Database» more  EDBT 2010»
13 years 8 months ago
Probabilistic ranking over relations
Probabilistic top-k ranking queries have been extensively studied due to the fact that data obtained can be uncertain in many real applications. A probabilistic top-k ranking quer...
Lijun Chang, Jeffrey Xu Yu, Lu Qin, Xuemin Lin
BTW
2007
Springer
292views Database» more  BTW 2007»
13 years 8 months ago
Effective and Efficient Indexing for Large Video Databases
Abstract: Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A ...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
EDBT
2009
ACM
113views Database» more  EDBT 2009»
13 years 11 months ago
Query ranking in probabilistic XML data
Twig queries have been extensively studied as a major fragment of XPATH queries to query XML data. In this paper, we study PXMLRANK query, (Q, k), which is to rank top-k probabili...
Lijun Chang, Jeffrey Xu Yu, Lu Qin
ICDE
2009
IEEE
165views Database» more  ICDE 2009»
14 years 6 months ago
Spatial Range Querying for Gaussian-Based Imprecise Query Objects
Abstract-- In sensor environments and moving robot applications, the position of an object is often known imprecisely because of measurement error and/or movement of the object. In...
Yoshiharu Ishikawa, Yuichi Iijima, Jeffrey Xu Yu
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 5 months ago
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin