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The importance of a 'Data Mining oriented analysis phase' in a data warehousing project methodology

机译:“数据挖掘定向阶段”在数据仓库项目方法中的重要性

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Classical two or three level architectures proposed so far for data warehouses show some drawbacks when adopted to work over large numbers of heterogeneous operational sources. In the application context under consideration, having a suitable architecture may not be enough for design purposes. Indeed, data warehouse and data mining architectural substrate design in very large operational environments can be a quite hard problem to be attacked with traditional manual methodologies. Therefore, the purpose of this paper is to provide an alternative four-level data warehouse architecture (DMOIS) and a methodology phase, partially data mining based and oriented.
机译:到目前为止,数据仓库提出的古典两种或三个级别架构在采用大量的异构操作来源时显示了一些缺点。在所考虑的应用上下文中,具有合适的架构可能不足以进行设计目的。实际上,在非常大的操作环境中的数据仓库和数据挖掘架构基板设计可能是与传统手动方法攻击的相当困难的问题。因此,本文的目的是提供一种替代的四级数据仓库架构(DMOIS)和方法阶段,基于和面向的部分数据挖掘。

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