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ICDE
2007
IEEE
128views Database» more  ICDE 2007»
14 years 6 months ago
Efficient Evaluation of All-Nearest-Neighbor Queries
The All Nearest Neighbor (ANN) operation is a commonly used primitive for analyzing large multi-dimensional datasets. Since computing ANN is very expensive, in previous works R*-t...
Yun Chen, Jignesh M. Patel
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...
ICDE
2009
IEEE
178views Database» more  ICDE 2009»
13 years 2 months ago
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
Bhargav Kanagal, Amol Deshpande
VLDB
2002
ACM
106views Database» more  VLDB 2002»
13 years 4 months ago
Efficient Algorithms for Processing XPath Queries
Our experimental analysis of several popular XPath processors reveals a striking fact: Query evaluation in each of the systems requires time exponential in the size of queries in ...
Georg Gottlob, Christoph Koch, Reinhard Pichler
ICDE
2003
IEEE
98views Database» more  ICDE 2003»
14 years 6 months ago
XPath Query Evaluation: Improving Time and Space Efficiency
Contemporary XPath query engines evaluate queries in time exponential in the sizes of input queries, a fact that has gone unnoticed for a long time. Recently, the first main
Georg Gottlob, Christoph Koch, Reinhard Pichler