Framework for Generalization and Improvement of Relational Data Warehouses

被引：0

作者：

Velinov, Goran ^{[1
]}

Gligoroski, Danilo ^{[3
]}

Popovska, Margita Kon ^{[2
]}

机构：

[1] St Cyril & Methodius Univ, Fac Sci & Math, Inst Informat, Comp Sci, Skopje, Macedonia

[2] St Cyril & Methodius Univ, Fac Sci & Math, Inst Informat, Skopje, Macedonia

[3] Norwegian Univ Sci & Technol, Ctr Quantifiable Qual Serv Commun Syst, Q2S, Trondheim, Norway

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2008年 / 8卷 / 03期

关键词：

Relational Data Warehouses; Greedy; Genetic Algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：32 / 40

页数：9

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