Title
Selection of Materialized View Based on Information Weight and Using Huffman-Tree on Spatial Data Warehouse
Abstract
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.
Year
DOI
Venue
2006
10.1109/ICICIC.2006.345
ICICIC (2)
Keywords
Field
DocType
spatial data warehouse,information weight,object-based selective materialization,spatial complexity,optimal solution,source data,present proof,information content,materialized view,selecting consideration,density-based selective materialization,spatial tuples,huffman codes,greedy algorithms,time complexity,materialized views,huffman tree,computational complexity,spatial data,data models,tree data structures,data warehouses
Data warehouse,Data mining,Data modeling,Source data,Tuple,Computer science,Tree (data structure),Huffman coding,Time complexity,Materialized view
Conference
ISBN
Citations 
PageRank 
0-7695-2616-0
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
JingJing Li100.34
Wang Yao28511.45
Ruiqiang Liu3152.68