loading...
Selection of Materialized View Based on Information Weight and Using Huffman-Tree on Spatial Data Warehouse
Beijing, China August 30-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.345First International Conference on Inn ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
JingJing Li, Urumqi National High-Tech Development Zone
Yao Wang, Urumqi National High-Tech Development Zone
RuiQiang Liu, Urumqi National High-Tech Development Zone
We propose the method of selecting materialized views on a spatial data warehouse. And focus on selecting spatial tuples. The selecting considerations include query frequency, source data and spatial complexity, so we introduce information content and density-based selective materialization, which is different from Object-based selective materialization, We present proofs showing that the algorithms are guaranteed to provide a solution that is fairly close to the optimal solution.
Citation:
JingJing Li, Yao Wang, RuiQiang Liu, "Selection of Materialized View Based on Information Weight and Using Huffman-Tree on Spatial Data Warehouse," icicic, vol. 2, pp.71-74, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.