Group Nearest Neighbor Queries
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Aggregate Nearest Neighbor Queries in Road Networks
IEEE Transactions on Knowledge and Data Engineering
Aggregate nearest neighbor queries in spatial databases
ACM Transactions on Database Systems (TODS)
Query processing in spatial network databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Voronoi-based K nearest neighbor search for spatial network databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Single-Source multi-target a* algorithm for POI queries on road network
WAIM'11 Proceedings of the 2011 international conference on Web-Age Information Management
Merged aggregate nearest neighbor query processing in road networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Reverse top-k group nearest neighbor search
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Hi-index | 0.00 |
Aggregate nearest neighbor (ANN) query returns a common interesting data object that minimizes an aggregate distance for multiple query points. In this paper, we propose a novel approach to efficiently process ANN queries in road networks. This approach includes two processes: initializing process and pruning process, which are both based on computing kNN of query points in network Voronoi diagram. Experimental results show that our approach outperforms existing approaches on both response time and page accesses.