Applying evolutionary algorithms to materialized view selection in a data warehouse

被引：32

作者：

Horng, JT

Chang, YJ

Liu, BJ

机构：

[1] Department of Computer Science and Information Engineering, National Central University, Taiwan

来源：

SOFT COMPUTING | 2003年 / 7卷 / 08期

关键词：

data warehouses; genetic algorithms; genomes; materialized views;

D O I：

10.1007/S00500-002-0243-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Effective analysis of genome sequences and associated functional data requires access to many different kinds of biological information. A data warehouse [14,16] plays an important role for storage and analysis for genome sequence and functional data. A data warehouse stores lots of materialized views to provide an efficient decision-support or OLAP queries. The view-selection problem addresses to select a fittest set of materialized views from a variety of MVPPs 0 forms a challenge in data warehouse research. In this paper, we present genetic algorithm to choose materialized views. We also use experiments to demonstrate the power of our approach.

引用

页码：574 / 581

页数：8