RESEARCH ON THE DESIGN OF WEB DATA WAREHOUSE BASED ON ETL META DATA MODEL AND PARTICLE SWARM OPTIMISATION

摘要

Aiming at prompting the performance in the process of designing of web-based data warehouse, the article examines the data on warehouse design, based on ETL Meta Data Model and Particle Swarm Optimisation (PSO). The Particle Swarm Optimisation Algorithm, which is presented for adjusting parameters for optimisation is compared with traditional algorithm to prove that it has better performance in error estimation. The experimental data show that the calculating speed, the control accuracy and the complexity can be significantly improved by using ETL Meta Data Model and Particle Swarm Optimisation in the design process of web data warehouse.