基于数据库的层次概念知识体系的一种获取方法

Hierarchical Concepts Learning Based on Large Databases

以关系数据理论为基础，提出一种基于数据库的大量概念学习和概念体系构建的新方法，给出了基于数据库的概念定义和一种简化的获取方法。

Based on relational databse theory, concepts in databases were defined. By using set theory and operation, a new learning method for formulatin concept hierarchy from relational database was put forth. In run in the logic of top-down, and learned firstly simple generalized concepts, which were then unified to form the candidates for lower level concepts that were validated according to its definition. This method simplified the process for finding effectively hierarchical concepts in large databases, and was used for the knowledge discovery of a supper market about the buying pattern of household necessities, which revealed some novel concepts.