Incremental and General Evaluation of Reverse Nearest Neighbors

This paper presents a novel algorithm for Incremental and General Evaluation of continuous Reverse Nearest neighbor queries (IGERN, for short). The IGERN algorithm is general in that it is applicable for both continuous monochromatic and bichromatic reverse nearest neighbor queries. This problem is faced in a number of applications such as enhanced 911 services and in army strategic planning. A main challenge in these problems is to maintain the most up to date query answers as the dataset frequently changes over time. Previous algorithms for monochromatic continuous reverse nearest neighbor queries rely mainly on monitoring at the worst case of six pie regions, whereas IGERN takes a radical approach by monitoring only a single region around the query object. The IGERN algorithm clearly outperforms the state-of-the-art algorithms in monochromatic queries. We also propose a new optimization for the monochromatic IGERN to reduce the number of nearest neighbor searches. Furthermore, a ï¬...

• Type: Journal
• Year: 2010
• Where: TKDE
• Authors: James M. Kang, Mohamed F. Mokbel, Shashi Shekhar, Tian Xia, Donghui Zhang
• Keywords: Algorithms, Monochromatic, Reverse Nearest Neighbor, TKDE 2010