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文章基本信息

  • 标题:Framework for Generalization and Improvement of Relational Data Warehouses
  • 本地全文:下载
  • 作者:Goran Velinov ; Danilo Gligoroski ; Margita Kon Popovska
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2008
  • 卷号:8
  • 期号:3
  • 页码:32-40
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:In this paper we present the system of relational data warehouse optimization. The system is based on generalized definition of solution space which includes lot of factors relevant for performance of the relational data warehouses. Novelties are hybrid Greedy - Genetic algorithms applied to generalized solution space and specific techniques for improvement of the efficiency of optimization process. Experimental results shows that our algorithms outperforms traditional Genetic algorithms in the speed of finding optimal (or near optimal) solutions.
  • 关键词:Relational Data Warehouses; Greedy; Genetic Algorithm
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