基于Rough Set带结论域的关联规则挖掘  

Mining of Association Rules with Decision Attributes Based on Rough Set

作　　者：童舟[1] 罗可[1] 

机构地区：[1]长沙理工大学计算机与通信工程学院,长沙410076

出　　处：《计算机工程与应用》2006年第25期166-169,共4页Computer Engineering and Applications

基　　金：国家自然科学基金资助项目(编号:10471036;60474070);湖南省自然科学基金资助项目(编号:05JJ2002;04JJ3031);湖南省教育厅科研基金资助项目(编号:05FJ3074)

摘　　要：论文构建了一种基于RoughSet(RS)带结论域的强关联规则挖掘模型,采用约简决策表和改进的Apriori算法来挖掘关联规则,提高了关联规则的挖掘效率和挖掘质量,提出并实现了带结论域的关联规则挖掘的解决方案。This paper constructs a model of mining strong association rules with decision attributes which is based on Rough Set,adopts the reduction of decision table to build association rules to increase the efficiency and correct efficiency of mining association rules,provides a settlement of mining association rules with decision attributes.

关 键 词：粗糙集 关联规则 约简 结论域 数据挖掘 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]