Appending mining data of spatial object for query
Jeang-Kuo Chen, Wen-Ting Chien · 2009
Object-area related mining is an important topic in the application of spatial data. In this paper, we propose ten fundamental mining items for R-tree data access. To reflect the overlap characteristic of spatial object, we add three advanced mining items to R-tree. The values of these proposed items are pre-calculated and distributed to each entry of node of R-tree in advance. The time of searching and computing for aggregating data in lower-level objects can be reduced because each entry of node at higher-level in R-tree have these data already.