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Towards a knowledge model for multi-view KDD process

机译:建立多视图KDD过程的知识模型

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摘要

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:数据库中的知识发现(KDD)是一个高度复杂,迭代和交互的过程,涉及多种类型的知识和专长。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主持的KDD流程)。我们的目标是增强流程的可重用性和专家之间的协调。为此,我们建议基于CRISP-DM标准并考虑到KDD过程中涉及的领域知识,将KDD中的视点形式化。

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