A Genetic Selection Algorithm for OLAP Data Cubes

@article{Lin2003AGS,
  title={A Genetic Selection Algorithm for OLAP Data Cubes},
  author={Wen-Yang Lin and I-Chung Kuo},
  journal={Knowledge and Information Systems},
  year={2003},
  volume={6},
  pages={83-102}
}
Multidimensional data analysis, as supported by OLAP (online analytical processing) systems, requires the computation of many aggregate functions over a large volume of historically collected data. To decrease the query time and to provide various viewpoints for the analysts, these data are usually organized as a multidimensional data model, called data cubes. Each cell in a data cube corresponds to a unique set of values for the different dimensions and contains the metric of interest. The… CONTINUE READING
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