A Method for Partitioning Subject Level in Data Warehouse Based on Interpretative Structural Modeling

Xuedong Gao (), Yixuan Ma () and Shujuan Gu ()
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Xuedong Gao: University of Science Technology Beijing
Yixuan Ma: University of Science Technology Beijing
Shujuan Gu: University of Science Technology Beijing

A chapter in LISS 2014, 2015, pp 1655-1660 from Springer

Abstract: Abstract In the construction of data warehouse, the levels of subject are currently determined on decision-makers’ intuition. To make subject level structure illustrative and reasonable, a method is proposed to partition subject level. After presenting the “Subject” level partitioning process, a method for partitioning subject level in data warehouse on the basis of Interpretative Structural Modeling is put forward. Finally a case about university financial data warehouse’s subject level partitions verifies the rationality and validity of this method.

Keywords: Interpretative structural modeling; Data warehouse; Subject level partition (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_238

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DOI: 10.1007/978-3-662-43871-8_238

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