计算机应用与软件2018，Vol.35Issue(5)：42-47,123,7.DOI:10.3969/j.issn.1000-386x.2018.05.008
基于多数据库的模糊元关联规则挖掘方法
A METHOD OF MINING FUZZY META ASSOCIATION RULES FROM MULTIDATABASES
摘要
Abstract
In distributed environment, data is characterized by large scale and distributed storage.Generally, it is easy to achieve to use traditional data mining techniques to analyze each data set separately.However,it is more difficult to make an overall decision on all the data.Therefore, a new mining method is proposed in this paper, which can be used to mine rules from multiple data sets.A generation model is put forward based on meta association rule,finding out the relationship between the rules mined in each independent data set.Two kinds of frameworks,crisp meta association rules and fuzzy meta association rules,are designed.And comparison between their algorithms is also made.The results show that the mining method based on the fuzzy meta association rules is better than the crisp method in terms of ease of use and accuracy.关键词
关联规则/元关联规则/模糊/清晰/多数据库Key words
Association rule/Meta association rule/Fuzzy/Crisp/Multidatabases分类
信息技术与安全科学引用本文复制引用
刘小燕,王健..基于多数据库的模糊元关联规则挖掘方法[J].计算机应用与软件,2018,35(5):42-47,123,7.基金项目
国家自然科学基金项目(11601129) （11601129）
河南省矿山信息化实验室开放基金项目(KY2014-04). （KY2014-04）
