DocumentCode :
1738468
Title :
OLAP data cubes configuration with genetic algorithms
Author :
Lin, Wen-Yang ; Kuo, I-Chung
Author_Institution :
I-Shou Univ., Kaohsiung, Taiwan
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1984
Abstract :
We deploy a genetic algorithm to automate the selection of OLAP data cubes. In particular, we concentrate on constraint-handling techniques. We propose a greedy repair method to deal with the problem of infeasible candidates that violate constraints. As the experiments show, this repair method is effective in exploring as well as exploiting the search to find a good solution
Keywords :
constraint handling; data mining; data warehouses; genetic algorithms; OLAP data cubes configuration; constraint-handling techniques; data warehouse; genetic algorithms; greedy repair method; infeasible candidates; multidimensional enterprise data; on-line analytical processing; Data analysis; Data warehouses; Databases; Delay; Genetic algorithms; Lattices; Marketing and sales; Multidimensional systems; NP-hard problem; Warehousing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
ISSN :
1062-922X
Print_ISBN :
0-7803-6583-6
Type :
conf
DOI :
10.1109/ICSMC.2000.886405
Filename :
886405
Link To Document :
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