基于概念格的知识发现及其在高校就业数据分析中的应用

Concept lattice based know ledge discovery and its application to analysis of employment data in universities

形式概念分析是数据分析与知识发现的有效工具,现已被广泛应用于各个研究领域。决策形式背景是形式概念分析中的重要关系数据库之一,其主要研究内容是基于规则提取的知识发现。本文借助于Wille概念格和面向对象概念格对决策形式背景的规则提取问题进行研究,给出了规则提取算法,并通过高校就业数据对算法进行了实证分析。

Formal concept analysis is an effective tool in data analysis and knowledge discovery,and it has been applied in various fields. Formal decision context is one of the key relational datasets in formal concept analysis and rule acquisition based knowledge discovery is its main research topic. In this paper,Willes concept lattice and object-oriented concept lattice are used to study rule acquisition in formal decision context,the corresponding rule acquisition algorithm is explored,and employment data from universities is employed to illustrate the feasibility of the proposed algorithm.