Please use this identifier to cite or link to this item:
|Title:||Indexing for dynamic abstract regions||Authors:||Jaffar, J.
|Issue Date:||2006||Citation:||Jaffar, J.,Yap, R.H.C.,Zhu, K.Q. (2006). Indexing for dynamic abstract regions. Proceedings - International Conference on Data Engineering 2006 : 12-. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDE.2006.81||Abstract:||We propose a new main memory index structure for abstract regions (objects) which may heavily overlap, the RC-tree. These objects are "dynamic" and may have short life spans. The novelty is that rather than representing an object by its minimum bounding rectangle (MBR), possibly with pre-processed segmentation into many small MBRs, we use the actual shape of the object to maintain the index. This saves significant space for objects with large spatial extents since pre-segmentation is not needed. We show that the query performance of RC-tree is much better than many indexing schemes on synthetic overlapping data sets. The performance is also competitive on real-life GIS non-overlapping data sets. © 2006 IEEE.||Source Title:||Proceedings - International Conference on Data Engineering||URI:||http://scholarbank.nus.edu.sg/handle/10635/40573||ISBN:||0769525709||ISSN:||10844627||DOI:||10.1109/ICDE.2006.81|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 22, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.