A Three-layered Conceptual Framework of Data Mining
A Three-layered Conceptual Framework of Data Mining
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发表时间：
2004
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通讯作者：
Yiyu Yao;N. Zhong;Y. Zhao
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文献类型：
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作者：
Yiyu Yao;N. Zhong;Y. Zhao
对数据挖掘基础的研究可以被看作是对数据挖掘的本质和数据挖掘方法的范围的科学探究。数据挖掘的本质及其哲学基础的研究还没有得到足够的重视。显然，数据挖掘作为一个科学领域的概念研究，而不是孤立的算法的集合，需要该领域的进一步发展。在此基础上，提出了一个由哲学层、技术层和应用层组成的三层概念框架。每一层都侧重于关于数据挖掘的不同类型的基本问题，它们共同构成了该领域的完整特征。为了补充广泛的技术层和应用层研究，我们详细讨论了哲学层研究的主要问题。
The study of the foundations of data mining may be viewed as a scientific inquiry into the nature of data mining and the scope of data mining methods. There is not enough attention paid to the study of the nature of data mining, or its philosophical foundations. It is evident that conceptual studies of data mining as a scientific fields, instead of a collection of isolated algorithms, are needed for the further development of the field. A three-layered conceptual framework is thus proposed, consisting of the philosophy layer, the technique layer and the application layer. Each layer focuses on different types of fundamental questions regarding data mining, and jointly they form a complete characterization of the field. To complement the extensive technique layer and application layer studies, we discuss in detail the main issues of the philosophy layer study.