Group Visible Nearest Neighbor Queries in Spatial Databases

@inproceedings{Xu2010GroupVN,
  title={Group Visible Nearest Neighbor Queries in Spatial Databases},
  author={Hu Xu and Zhicheng Li and Yansheng Lu and Ke Deng and Xiaofang Zhou},
  booktitle={WAIM},
  year={2010}
}
Traditional nearest neighbor queries and its variants, such as Group Nearest Neighbor Query (GNN), have been widely studied by many researchers. Recently obstacles are involved in spatial queries. The existence of obstacles may affect the query results due to the visibility of query point. In this paper, we propose a new type of query, Group Visible Nearest Neighbor Query (GVNN), which considers both visibility and distance as constraints. Multiple Traversing Obstacles (MTO) Algorithm and… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 10 CITATIONS

Obstructed group nearest neighbor queries in spatial databases

VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Group Visible Nearest Surrounder Query in Obstacle Space

  • 2019 IEEE International Conference on Computer Science and Educational Informatization (CSEI)
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND

Finding Visible kNN Objects with the View Field Constraint

  • 2018 1st International Cognitive Cities Conference (IC3)
  • 2018
VIEW 3 EXCERPTS
CITES BACKGROUND & METHODS