• 论文 •    

多数据仓库环境下的主动数据更新算法

孙  明,李庆忠   

  1. 山东大学 计算机科学与技术学院,山东  济南  250100
  • 收稿日期:2005-01-24 修回日期:2005-03-18 出版日期:2006-05-15 发布日期:2006-05-25

Active data refresh algorithm in multi-data warehouse

SUN Ming,LI Qing-zhong   

  1. Sch. of Computer S & T,Shandong Univ.,Jinan  250100,China
  • Received:2005-01-24 Revised:2005-03-18 Online:2006-05-15 Published:2006-05-25

摘要: 为了构建支持群体决策的数据仓库,分析了传统数据更新算法及数据仓库模型的局限性,提出了一个支持群体决策的多数据仓库模型。该模型在传统数据仓库模型的数据源和数据仓库之间增加中间处理层,支持灵活的多数据仓库数据更新和管理。基于该模型,给出了支持多数据仓库的主动数据更新算法,并证明了算法的正确性和可行性。实验表明,该算法能够为多数据仓库系统有效地更新群体决策信息。

关键词: 群体决策, 数据仓库, 主动数据更新

Abstract: To construct a data warehouse supporting group decisions,a model of multi-data warehouse supporting group decisions was proposed based on limitation analysis of the traditional data refresh algorithm and data warehouse model. Intermediate processing layer was added between data source of tradition data warehouse model and data warehouse in order to support flexible update and management of multi-data warehouse. Based on this model,an active data refresh algorithm to support multi-data warehouse was given. The model and the algorithm were then evaluated and validated through implementations and analysis. Experiments indicated that this method could refresh the group decisions information more effectively in multi-data warehouse.

Key words: group decision, data warehouse, active data refresh

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