Continuous Visible Nearest Neighbour Queries
Conference Proceeding Article
In this paper, we identify and solve a new type of spatial queries, called continuous visible nearest neighbor (CVNN) search. Given a data set P, an obstacle set O, and a query line segment q, a CVNN query returns a set of (p, R) tuples such that p ? P is the nearest neighbor (NN) to every point r along the interval R ? q as well as p is visible to r. Note that p may be NULL, meaning that all points in P are invisible to all points in R, due to the obstruction of some obstacles in O. In this paper, we formulate the problem and propose efficient algorithms for CVNN query processing, assuming that both P and O are indexed by R-trees. In addition, we extend our techniques to several variations of the CVNN query. Extensive experiments verify the efficiency and effectiveness of our proposed algorithms using both real and synthetic datasets.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
Proceedings of the 12th International Conference on Extending Database Technology EDBT '09, Saint Petersburg, March 24-26, 2009: Proceedings
City or Country
GAO, Yunjun; ZHENG, Baihua; LEE, Wang-chien; and CHEN, Gencai.
Continuous Visible Nearest Neighbour Queries. (2009). Proceedings of the 12th International Conference on Extending Database Technology EDBT '09, Saint Petersburg, March 24-26, 2009: Proceedings. 144-155. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/311