Viewpoint-based annotations for Knowledge Discovery in Databases

Hicham Behja, E. Zemmouri, A. Marzak
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引用次数: 6

Abstract

In this paper, we propose a new approach that makes the viewpoint notion explicit in a multiview Knowledge Discovery in Databases (KDD) process. We define a viewpoint in KDD as an analyst's perception of a KDD process, which refers to his own knowledge. Our purpose is to facilitate both the reusability and adaptability of a KDD process, and to reduce its complexity whilst maintaining the trace of the past analysis in terms of viewpoints. We also propose a viewpoint-based conceptual model for KDD process that integrates both the analyzed and the analyst domain knowledge.
基于视点的数据库知识发现注解
本文提出了一种在多视图数据库知识发现(KDD)过程中使视点概念显式化的新方法。我们将KDD中的观点定义为分析人员对KDD过程的感知,这指的是他自己的知识。我们的目的是促进KDD过程的可重用性和适应性,并减少其复杂性,同时根据视点维护过去分析的跟踪。我们还提出了一个基于观点的KDD过程概念模型,该模型集成了被分析和分析人员领域的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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