1.
Cigarette Selling Strategies Basing on Multilayer Association Rule
基于多层次关联规则的卷烟销售策略
2.
An Algorithm For Mining Multi-level Association Rules Across One Sort Of Multi-Tables;
一类表间多层次关联规则挖掘算法研究
3.
THERESEACHOFMULTIPLE-LEVELED ASSOCIATIONRULEDATAMININGALGORTHM BASED ON CONCEPTION HIERARCHY TREE;
基于概念层次树的多层次关联规则数据挖掘算法研究
4.
Domain relation learning from events in log ontologies based on hierarchy association rules
基于层次关联规则的日志本体事件领域关系学习
5.
Study on Multi-Level Association Rules Mining Algorithm Based on FP-Tree;
基于FP-Tree的多层关联规则挖掘算法研究
6.
Optimized Methods for Mining Biological Data Multilevel Association Rules;
生物数据多层关联规则挖掘算法的优化设计
7.
An Algorithm for Mining Biological Data Multilevel Association Rules;
一种基于生物数据的多层关联规则挖掘算法
8.
Multi-dimension and Multi-level Association Rule Mining Based on Immune Genetic Algorithm
基于免疫遗传算法的多维多层关联规则挖掘
9.
The Application of Distributed Multilevel Association Rules in Book Circulation Optimization
分布式多层关联规则在图书流通优化中的应用
10.
Application of multi-level and multi-dimensional association rules in analysis of traffic accidents
多层多维关联规则在交通事故研究中的应用
11.
This paper firstly presents a power set-based association rules mining algorithm which uses pow er set as an association rules mining tool.
首次提出了利用幂集作为挖掘关联规则的工具,给出了基于幂集的关联规则挖掘算法。
12.
Research on the Knowledge Discovery in Conceptual Hierarchy Knowledge Base Based on the Multiple-Level Association Rules;
基于多层关联规则的概念分层知识库中知识发现的研究
13.
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。
14.
Mining Multi-Level Association Rules in Distribute Database;
基于多数据库系统的多层关联规则挖掘技术研究和实现
15.
Application of association rule in repast industry business database based on the concept hierarchy
基于概念分层的关联规则在酒店餐饮营业数据库的应用
16.
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。
17.
Application of the hierarchy--grey relation analysis method in the selection of SEA programme
层次-灰色关联分析法在规划环评中方案比选的应用
18.
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