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概念格是数据分析与知识提取的有效工具。为了充分利用其进行数据分析和知识提取,本文通过对概念格的内涵引入权值,提出一种加权概念格,拓广了概念格的结构。同时由用户设立概念格内涵的最小阈值,构造了一种频繁加权概念格,并由此给出了频繁加权概念格的构造算法及其分析。最后,通过实例说明其是有效可行的。
Concept lattice is an effective tool for data analysis and knowledge extraction. In order to make full use of it for data analysis and knowledge extraction, this paper puts forward a kind of weighted concept lattice and extends the structure of concept lattice by introducing the connotation of the concept lattice. At the same time, the user sets up the minimum threshold of concept lattice connotation, constructs a kind of frequently weighted concept lattice, and gives the construction algorithm of frequent weighted concept lattice and its analysis. Finally, an example shows that it is effective and feasible.