关键词: 自然语言生成, 关联规则, 可视化, 领域知识库

Abstract: For non-expert users, the general text association rules are hardly understood, moreover graphical visualization in the traditional sense is just popular for experts in the data mining field. To address these problems, a novel visualization methodology of association rules is proposed based on the Natural Language Generation （NLG）, which introduces NLG technology to the association rules visualization. The proposed approach can interpret the items of rules as ordinary natural language by using the interpretation schema in the domain knowledge base, and ultimately generates the smooth and easy natural language sentences through sentence planning and surface realization. The experiments show that the results obtained by this approach are more easily understood to the non-expert users, and help them make accurate decisions by taking full advantage of value of information gained in the mining process.

Key words: natural language generation, association rules, visualization, domain knowledge base