计算机科学与探索2016，Vol.10Issue(11)：1547-1555,9.DOI:10.3778/j.issn.1673-9418.1506018
带参数区间关联规则挖掘算法与应用
Mining Algorithm of Interval Association Rule with Parameters and Its Application
摘要
Abstract
After analyzing the association rule mining algorithm of classical concept lattice, in order to solve the issue of mining uncertain rule, this paper puts forward the model of mining interval association rule with parameters, com-bining with the properties of concept and structure of interval concept lattice. Firstly, this paper gives a series of defini-tions and related theorems in the course of mining interval rule, and based on the uncertainty of concept lattice, defines the measurable standard of interval association rule. Then, this paper constructs the model of mining rule with parame-ters based on interval concept lattice, and the analysis shows that the model can effectively extract association rules with high degree of support and confidence, so it improves the dependability of rules. Finally, through a case of book recommendation, this paper verifies the feasibility of this model, meanwhile studies the influence of α and β to inte-rval association rule.关键词
区间概念格/带参数规则挖掘/支持度/置信度/规则精度Key words
interval concept lattice/rule mining with parameters/support degree/confidence degree/rule accuracy分类
信息技术与安全科学引用本文复制引用
王立亚,张春英,刘保相..带参数区间关联规则挖掘算法与应用[J].计算机科学与探索,2016,10(11):1547-1555,9.基金项目
The National Natural Science Foundation of China under Grant Nos.61370168，61472340(国家自然科学基金) （国家自然科学基金）
the Natural Science Foundation of Hebei Province under Grant No. F2016209344(河北省自然科学基金项目) （河北省自然科学基金项目）
