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利用量化概念格模板优化的关联规则挖掘研究
引用本文:刘晓平,王德兴,石慧,胡学钢. 利用量化概念格模板优化的关联规则挖掘研究[J]. 工程图学学报, 2006, 27(6): 26-30
作者姓名:刘晓平  王德兴  石慧  胡学钢
作者单位:合肥工业大学计算机与信息学院,安徽,合肥,230009
基金项目:国家自然科学基金;安徽省自然科学基金
摘    要: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。

关 键 词:计算机应用  模板优化  关联规则  概念格  数据挖掘
文章编号:1003-0158(2006)06-0026-05
收稿时间:2006-07-25
修稿时间:2006-07-25

The Research on Association Rule Mining Based on Quantitative Concept Lattice for Template Optimization
LIU Xiao-ping,WANG De-xing,SHI Hui,HU Xue-gang. The Research on Association Rule Mining Based on Quantitative Concept Lattice for Template Optimization[J]. Journal of Engineering Graphics, 2006, 27(6): 26-30
Authors:LIU Xiao-ping  WANG De-xing  SHI Hui  HU Xue-gang
Abstract: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.
Keywords:computer application  template optimization  association rules  concept lattice  data mining
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