K-Nearest Neighbor query processing methods in road network space: Performance evaluation
Sung-Hyun Shin, Sang‐Chul Lee, Sang‐Wook Kim, Junghoon Lee, Eul Gyu Lim · 2009
The road network now opens a new application area for the classic k-NN queries, which retrieve k objects closest to a given query point. There are many previous methods for k-NN query processing. However, all of them are not sufficient in experimental evaluation of performance. In this paper, we present the way that extensively evaluates prior methods for processing of k-NN queries. To achieve this goal, we first describe well-known previous methods for retrieving k objects closest to a given query point. Next, we establish the criteria against which previous methods have been evaluated for k-NN query processing. Last, we build the experiment environment using the real network data and then perform extensive performance evaluation.