17th International Conference on Database and Expert Systems Applications (DEXA'06) Realization of Continuous Queries with kNN Join Processing in Spatial Telemetric Data Warehouse Krakow, Poland September 04-September 08 ISBN: 0-7695-2641-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2006.120
The paper describes realization of continuous queries with kNN join processing in spatial telemetric data warehouse. kNN queries (k Nearest Neighbors) joins every point from dataset with its k nearest neighbors in the other dataset. We use the Gorder method, which is a block nested loop join algorithm that exploits sorting, join scheduling and distance computation filtering. Queries are processed for both static and mobile objects. Designed approach allows to evaluate many simultaneous continuous queries.
Citation:
Marcin Gorawski, Wojciech Gebczyk, "Realization of Continuous Queries with kNN Join Processing in Spatial Telemetric Data Warehouse," dexa, pp.632-636, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||