1.
Traditional association rules mining is called boolean associaion rules mining.
传统的关联规则挖掘称为布尔型关联规则挖掘。
2.
A Research on Strong Association Rules and Related Application
关于强关联规则挖掘与相关应用研究
3.
Incremental association rules mining for large data set
大规模数据集的增量式关联规则挖掘
4.
Research of Pruning Redundant Rules in Positive and Negative Association Rules;
正负关联规则中冗余规则修剪技术的研究
5.
Research on Data Mining Based Decision Rules and Association Rules;
基于关联规则和决策规则的数据挖掘研究
6.
Research on Association Rule Mining Algorithm Based on Disjunction-free Sets;
基于无或言规则集的关联规则挖掘算法研究
7.
Methods for the Extension Rules of Ontology Based on Multidimensional Association Rules
基于多维关联规则的本体规则扩展方法
8.
Meta-association Rule Mining for Dynamic Association Rule Based on Time Series Model
基于时间序列模型的动态关联规则元规则挖掘
9.
Mining meta-association rules for association rule based on Markov model
利用马尔可夫模型挖掘关联规则的元规则
10.
We also give the experiment results. The paper concludes with a comparison of linear association rules and Boolean association rules as well as quantitative association rules.
还给出了实验结果 ,并将线性关联规则和布尔型关联规则及定量关联规则进行了比较
11.
Research on Association Rules Mining and Associative Classification Based on Bit Table
基于位表的关联规则挖掘及关联分类研究
12.
CR: An Algorithm for Mining Association Rules in Reverse Order
CR:一种逆向的关联规则挖掘算法
13.
Association rule mining is an important task of data mining.
关联规则是数据开采的重要研究内容 .
14.
The Research and Realization of Association Rules Data Mining Algorithms;
关联规则数据挖掘方法的研究与实现
15.
Mining Quantitative Association Rules Based on Fuzzy Set Theory;
基于模糊集理论的量化关联规则挖掘
16.
Research on Association Rules Mining Algorithm Based on Closed Pattern;
基于闭模式的关联规则产生算法研究
17.
Research on Association Rule Owing to Tense Constraint;
基于时态约束的关联规则挖掘的研究
18.
The Research of Association Rules and the Application in CRM;
关联规则研究及其在CRM中的应用