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ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
14 years 16 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
PAMI
2008
152views more  PAMI 2008»
13 years 7 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet
SSDBM
2010
IEEE
127views Database» more  SSDBM 2010»
14 years 20 days ago
Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning
Many applications require to determine the k-nearest neighbors for multiple query points simultaneously. This task is known as all-(k)-nearest-neighbor (AkNN) query. In this paper,...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
DEXA
2010
Springer
213views Database» more  DEXA 2010»
13 years 8 months ago
Efficient K-Nearest Neighbor Search in Time-Dependent Spatial Networks
The class of k Nearest Neighbor (kNN) queries in spatial networks has been widely studied in the literature. All existing approaches for kNN search in spatial networks assume that ...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
ICDE
2009
IEEE
169views Database» more  ICDE 2009»
14 years 9 months ago
Visible Reverse k-Nearest Neighbor Queries
Reverse nearest neighbor (RNN) queries have a broad application base such as decision support, profile-based marketing, resource allocation, data mining, etc. Previous work on RNN ...
Yunjun Gao, Baihua Zheng, Gencai Chen, Wang-Chien ...