利用量化概念格模板优化的关联规则挖掘研究

The Research on Association Rule Mining Based on Quantitative Concept Lattice for Template Optimization

工程设计中存在着大量固定的设计模式,模板以其自身特点,需要大量的模板匹配这些设计模式,因而如何寻找优化的模板组合进行工程设计中的模式匹配是工程设计的核心问题。论文将关联规则挖掘思想引入寻找模板的优化组合,基于量化概念格挖掘模板优化的关联规则,进而寻找合理的、优化的模板组合,解决了工程设计的模式匹配问题,提高了工程设计的效率。

There are a lot of fixed design patterns in engineering designs, by the advantages of template characteristics, a great number of templates are demanded to match these design patterns. But how to find the optimal combinations of templates and how to match design patterns are the key to engineering designs, so the ideas of association rule mining based on quantitative concept lattice are introduced to mining the optimal combinations of templates. Then the reasonable optimal template combinations are found out, and the problems of pattern matches in engineering design are solved. Thus the efficiency of engineering design can be improved.