Title :
Research of reverse nearest neighbor query technology in spatial objects
Author :
Yu, Hongkui ; Yang, YanPing ; Cao, Lijun ; Pei, CaiYan
Author_Institution :
Dept. of Comput. Sci. & Technol., Hebei Normal Univ. of Sci. & Technol., Qinhuangdao, China
Abstract :
In the past, the query based on R tree index structure, in the case of high-dimensional, the speed of the query decline sharply, a ¿dimension disaster¿, in this paper a new index structure-VAR tree is proposed, and the algorithm of anti-nearest neighbor and nearest neighbor queries based on the index structure is proposed, in order to enhance the query efficiency of the reverse nearest neighbor queries in high-dimensional space.
Keywords :
learning (artificial intelligence); query processing; visual databases; R tree index structure; VAR tree index structure; reverse nearest neighbor query technology; spatial objects; Approximation algorithms; Computer science; Electronic mail; Extraterrestrial measurements; Filters; Nearest neighbor searches; Reactive power; Testing; Vector quantization; Velocity measurement; SR-tree; VAR-tree; nearest neighbors query;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5413070