1.
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
2.
Or by the Federal Rules of Evidence (followed by some state courts) which stress helpfulness, reliability, and relevance.
或者根据联邦证据规则（许多州法院采纳此规则），这个规则强调有用性、可靠性和关联性。
3.
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。
4.
For instance, the rules of evidence disclosure, the rules of inquiry, the rules of relevance and the rules of admissibility all show some special features.
如证据开示规则、询问规则,关联性规则和可采性规则等。
5.
Incremental association rules mining for large data set
大规模数据集的增量式关联规则挖掘
6.
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
7.
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
8.
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
9.
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
10.
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
11.
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
12.
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
13.
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
14.
Group of Experts on Model Rules for Multimodal Container Tariffs
多式联运集装箱关税示范规则专家组
15.
CR: An Algorithm for Mining Association Rules in Reverse Order
CR:一种逆向的关联规则挖掘算法
16.
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 .
17.
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
18.
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