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» Top-k Spatial Joins of Probabilistic Objects
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ICDE
2008
IEEE
140views Database» more  ICDE 2008»
14 years 6 months ago
Top-k Spatial Joins of Probabilistic Objects
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
Vebjorn Ljosa, Ambuj K. Singh
DKE
2002
94views more  DKE 2002»
13 years 4 months ago
Tie-breaking strategies for fast distance join processing
The distance join is a spatial join that finds pairs of closest objects in the order of distance by associating two spatial data sets. The distance join stores node pairs in a pri...
Hyoseop Shin, Bongki Moon, Sukho Lee
CIDR
2003
109views Algorithms» more  CIDR 2003»
13 years 6 months ago
SkyQuery: A Web Service Approach to Federate Databases
Traditional science searched for new objects and phenomena that led to discoveries. Tomorrow's science will combine together the large pool of information in scientific archi...
Tanu Malik, Alexander S. Szalay, Tamas Budavari, A...
SIGMOD
2004
ACM
161views Database» more  SIGMOD 2004»
14 years 5 months ago
Approximation Techniques for Spatial Data
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage spatial objects such as points, lines, and hyper-rectangles, often have very high ...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
TKDE
2008
234views more  TKDE 2008»
13 years 4 months ago
Probabilistic Group Nearest Neighbor Queries in Uncertain Databases
The importance of query processing over uncertain data has recently arisen due to its wide usage in many real-world applications. In the context of uncertain databases, previous wo...
Xiang Lian, Lei Chen 0002