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» Probabilistic Ranking Queries on Gaussians
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EDBT
2010
ACM
135views Database» more  EDBT 2010»
15 years 26 days 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»
15 years 1 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»
15 years 4 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»
15 years 11 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»
15 years 9 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