Sciweavers

49 search results - page 1 / 10
» Efficient Algorithms to Monitor Continuous Constrained k Nea...
Sort
View
DASFAA
2010
IEEE
213views Database» more  DASFAA 2010»
13 years 8 months ago
Efficient Algorithms to Monitor Continuous Constrained k Nearest Neighbor Queries
Abstract. Continuous monitoring of spatial queries has received significant research attention in the past few years. In this paper, we propose two efficient algorithms for the con...
Mahady Hasan, Muhammad Aamir Cheema, Wenyu Qu, Xue...
SIGMOD
2005
ACM
254views Database» more  SIGMOD 2005»
14 years 4 months ago
Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring
Given a set of objects P and a query point q, a k nearest neighbor (k-NN) query retrieves the k objects in P that lie closest to q. Even though the problem is well-studied for sta...
Kyriakos Mouratidis, Marios Hadjieleftheriou, Dimi...
VLDB
2009
ACM
381views Database» more  VLDB 2009»
14 years 4 months ago
Lazy Updates: An Efficient Technique to Continuously Monitoring Reverse kNN
In this paper, we study the problem of continuous monitoring of reverse k nearest neighbor queries. Existing continuous reverse nearest neighbor monitoring techniques are sensitive...
Muhammad Aamir Cheema, Xuemin Lin, Ying Zhang, Wei...
DASFAA
2011
IEEE
221views Database» more  DASFAA 2011»
12 years 6 months ago
A Unified Algorithm for Continuous Monitoring of Spatial Queries
Continuous monitoring of spatial queries has gained significant research attention in the past few years. Although numerous algorithms have been proposed to solve specific queries...
Mahady Hasan, Muhammad Aamir Cheema, Xuemin Lin, W...
ICDE
2009
IEEE
198views Database» more  ICDE 2009»
14 years 6 months ago
V*-kNN: An Efficient Algorithm for Moving k Nearest Neighbor Queries
This demonstration program presents the V*-kNN algorithm, an efficient algorithm to process moving k nearest neighbor queries (MkNN). The V*-kNN algorithm is based on a safe-region...
Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kul...