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Towards a knowledge model for multi-view KDD process

机译:迈向多视图KDD进程的知识模型

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Knowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process involving several types of knowledge and expertise. In this paper we propose to support users of a multi-view analysis (a KDD process held by several experts with different viewpoints). Our objective is to enhance both reusability of the process and coordination between experts. To do so, we propose a formalization of viewpoint in KDD based on CRISP-DM standard and taking into account the domain knowledge involved during a KDD process.
机译:数据库(KDD)中的知识发现是一种高度复杂,迭代和互动的过程,涉及几种类型的知识和专业知识。在本文中,我们建议支持多视图分析的用户(由具有不同观点的几位专家持有的KDD进程)。我们的目标是提高专家之间的过程和协调的可重用性。为此,我们提出了基于CRISP-DM标准的KDD中的观点形式化,并考虑到KDD流程期间所涉及的域知识。

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