关键词: 形式背景, 属性约简, 数据立方体

Abstract: The theories of reduction of formal context in formal concept analysis are studied in this paper and the method of attribute reduction is applied to research of data cube. The base table can be reduced through removing unnecessary attributes and combining relative necessary attributes. Research shows that the constructive processing of data cube deduced from reductive table is easier than that from original table and data cube deduced from reductive table can obtain same aggregate concepts by storing process of reduction. After reduction of base table, the different roles of attributes played by different kinds of attributes in data cube are clear which can help us understand data characteristics deeply.

Key words: formal context, attribute reduction, data cube