计算机工程与应用Issue(23)：122-126,175,6.DOI:10.3778/j.issn.1002-8331.1301-0009
基于自然语言生成的关联规则可视化方法
Visualization method of association rules based on natural language generation
摘要
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 natu-ral 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.关键词
自然语言生成/关联规则/可视化/领域知识库Key words
natural language generation/association rules/visualization/domain knowledge base分类
信息技术与安全科学引用本文复制引用
赵娇娇,赵书良,郭晓波,刘军丹..基于自然语言生成的关联规则可视化方法[J].计算机工程与应用,2014,(23):122-126,175,6.基金项目
河北省科学技术研究与发展计划项目（No.072435158D，No.09213515D，No.09213575D）；河北师范大学硕士基金资助项目（No.201102002）。 （）
