Framework for Generalization and Improvement of Relational Data Warehouses
Journal
IJCSNS International Journal of Computer Science and Network Security
Date Issued
2008-03
Author(s)
Gligoroski, Danilo
Kon Popovska, Margita
Abstract
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.
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.
Subjects
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