Title :
A new DR-tree K-nearest neighbor query algorithm based on direction relationship
Author :
Li, Guobin ; Tang, Jine
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Abstract :
The K-nearest neighbor query algorithm based on R-tree is an important class of search algorithm in geographic information system, a new DR-tree index is proposed based on the direction relationship, it can fast achieve to carry on K-nearest neighbor query, the experiments show that conducting the K-nearest neighbor query algorithm by using of the new DR-tree can greatly reduce the CPU time, improve the query efficiency, so it has a very good use value in practice.
Keywords :
geographic information systems; pattern classification; query processing; trees (mathematics); unsupervised learning; DR-tree K-nearest neighbor query algorithm; R-tree; direction relationship; geographic information system; search algorithm; Decision support systems; K-nearest neighbor query algorithm; R-tree; direction relationship;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5567337
