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Definition of Data Warehouse Subject Areas Based on Object-Attribute Partitioning Approach

In: Liss 2014

Author

Listed:
  • Guiying Wei

    (University of Science and Technology Beijing)

  • Lei Zou

    (University of Science and Technology Beijing)

  • Jing Pan

    (University of Science and Technology Beijing)

Abstract

In traditional data warehouse system construction, the subject areas are all defined artificially according to the specialists’ subjective experiences. In order to solve the problem, the paper clusters user’s analysis demands into different subject areas according to the relationship matrix between analysis demands and indexes based on object-attribute partitioning approach. The case demonstrates that the approach can imitate specialists’ thinking process to effectively define the subject areas, which makes the definition of subject areas easier and more operable, especially with massive analysis demands and indexes.

Suggested Citation

  • Guiying Wei & Lei Zou & Jing Pan, 2015. "Definition of Data Warehouse Subject Areas Based on Object-Attribute Partitioning Approach," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 1647-1653, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_237
    DOI: 10.1007/978-3-662-43871-8_237
    as

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