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» Closest Pair Queries in Spatial Databases
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PAMI
2010
164views more  PAMI 2010»
13 years 6 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
DKE
2006
123views more  DKE 2006»
13 years 7 months ago
Cost models for distance joins queries using R-trees
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
14 years 20 days ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
DEBU
2010
170views more  DEBU 2010»
13 years 7 months ago
Roads Belong in Databases
The popularity of location-based services and the need to perform real-time processing on them has led to an interest in queries on road networks, such as finding shortest paths a...
Jagan Sankaranarayanan, Hanan Samet
SSD
2007
Springer
243views Database» more  SSD 2007»
14 years 1 months ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...