Appending mining data of spatial object for query | IEEE Conference Publication | IEEE Xplore

Appending mining data of spatial object for query


Abstract:

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 ref...Show More

Abstract:

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.
Date of Conference: 17-19 August 2009
Date Added to IEEE Xplore: 22 September 2009
Print ISBN:978-1-4244-4830-2
Conference Location: Nanchang, China

References

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