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An improved R-tree based on childnode's probability
Authors:LV Jun-long  MA Zhi-nan  LIU Zhao-hong  LEE Chung-ho  BAE Hae-young
Abstract:R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).
Keywords:R-tree  PBAR-tree  spatial access method  based  improved  names  structure probability  increase  front  trees  parameter  scale  little  change on  objects  distributing  area  assumption  existence  point  belong to  direct  size
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