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