Selection of Materialized View Based on Information Weight and Using Huffman-Tree on Spatial Data Warehouse
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