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» k-Nearest Neighbors in Uncertain Graphs
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EDBT
2009
ACM
207views Database» more  EDBT 2009»
13 years 8 months ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...
JPDC
2007
138views more  JPDC 2007»
13 years 4 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
MDM
2010
Springer
281views Communications» more  MDM 2010»
13 years 6 months ago
Efficient Evaluation of k-Range Nearest Neighbor Queries in Road Networks
A k-Range Nearest Neighbor (or kRNN for short) query in road networks finds the k nearest neighbors of every point on the road segments within a given query region based on the net...
Jie Bao 0003, Chi-Yin Chow, Mohamed F. Mokbel, Wei...
SSD
2009
Springer
233views Database» more  SSD 2009»
13 years 11 months ago
Approximate Evaluation of Range Nearest Neighbor Queries with Quality Guarantee
The range nearest-neighbor (NN) query is an important query type in location-based services, as it can be applied to the case that an NN query has a spatial region, instead of a lo...
Chi-Yin Chow, Mohamed F. Mokbel, Joe Naps, Suman N...
ICDAR
2003
IEEE
13 years 10 months ago
Classification of Web Documents Using a Graph Model
In this paper we describe work relating to classification of web documents using a graph-based model instead of the traditional vector-based model for document representation. We ...
Adam Schenker, Mark Last, Horst Bunke, Abraham Kan...