Continuous k-nearest Neighbor Queries Based on ExtendedSpatio-temporal Distance Metrics
DOI:
CSTR:
Author:
Affiliation:
Clc Number:
Fund Project:
Article
|
Figures
|
Metrics
|
Reference
|
Related
|
Cited by
|
Materials
|
Comments
Abstract:
In order to process CKNN queries on the basis of TPR-tree efficiently, a new spatio-temporal distance metrics minmaxdist(t) was presented as a pruning upper bound. Also a CKNN queries algorithm STM-CNN which can search in best-first manner was developed by means of mindist(t) and minmaxdist(t) metrics, in which STM-CNN algorithm visits TPR-tree nodes according to mindist(t)order, and pruning the nodes with minmaxdist(t).
Reference
Related
Cited by
Get Citation
LIAO Wei, WU Qiuyun, CHEN Hongsheng, JING Ning, ZHONG Zhinong. Continuous k-nearest Neighbor Queries Based on ExtendedSpatio-temporal Distance Metrics[J]. Journal of National University of Defense Technology,2007,29(1):81-85.