Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944410 | Information Sciences | 2017 | 30 Pages |
Abstract
In this paper, we introduce a novel type of spatial query called the Reverse View Field Nearest Neighbor (RVFNN) query. To process the query, we propose two query processing methods on an R*-tree: (1) RVFNN query processing on a sector-based R*-tree and (2) RVFNN query processing on an origin-based R*-tree. In addition, we propose a new type of spatial data index structure called the View Field R-tree (VFR-tree) and a search method for RVFNN queries on the VFR-tree. The VFR-tree overcomes the limitations of the R*-tree by considering both origins and sectors. We carry out various experiments to evaluate the performance and verify the efficiency of the proposed methods.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Sungmin Yi, Changbeom Shim, Yon Dohn Chung,