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

Guiying Wei (), Lei Zou () and Jing Pan ()
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Guiying Wei: University of Science and Technology Beijing
Lei Zou: University of Science and Technology Beijing
Jing Pan: University of Science and Technology Beijing

A chapter in LISS 2014, 2015, pp 1647-1653 from Springer

Abstract: 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.

Keywords: Subject area; Object-Attribute; Data warehouse; Thinking process (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_237

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DOI: 10.1007/978-3-662-43871-8_237

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