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  • 标题:SUPPORTING THE CHANGE IN THE DEGREE OF CONTAINMENT IN A MULTIDIMENSIONAL MODEL
  • 本地全文:下载
  • 作者:Francisco Moreno ; Fernando Arango ; Iván Amón Uribe
  • 期刊名称:Public Policy And Administration
  • 印刷版ISSN:2029-2872
  • 出版年度:2015
  • 卷号:38
  • 期号:4
  • DOI:10.5755/j01.itc.38.4.12079
  • 语种:English
  • 出版社:Kaunas University of Technology
  • 摘要:A data warehouse is usually modeled using a multidimensional view of data. A multidimensional model has dimensions composed of levels hierarchically organized according to their full containment. For example, in a geographical dimension with Department and Country levels, a department is fully contained in a country. Recently, a generalization of full containment has been proposed. It is known as the partial containment. For example, only 0.2 (20%) of a highway could be contained in a department. In this paper we adopt a multidimensional model that supports partial containment and extend this model in order to support the change of the degree (percentage) of containment, because this degree can change over time. Our extension is also incorporated into a multidimensional query language, which enables what-if analysis. In order to illustrate the expediency of our proposal, we present a case study related to car accidents.
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