Association rules describe which items often co-occur.
关联规则描述了哪些项目经常同时发生。
A slight variation of association rules are sequential rules.
序列规则是关联规则的一种，与关联规则稍有不同。
Mining association rules is a major aspect of data mining research.
挖掘关联规则是数据挖掘研究的一个重要方面。
Mining quantitative association rules is an important task of data mining.
量化关联规则的挖掘是数据挖掘的一项重要任务。
The cursor returns the content of the RETAIL_RULES table containing the association rules.
此指针返回包含有关联规则的 RETAIL_RULES表的内容。
This kind of algorithms provides a new method for reducing the set of association rules.
该类算法的提出，为关联规则的精简提供了一种新的解决方法。
The second report shows the filtered, dynamically created association rules for the selected product.
第二个报告显示了所选产品经过滤的、动态创建的那些关联规则。
The single minimum support degree is used in the existing association rules mining methods mostly.
现有的关联规则挖掘方法中，大多采用单一的最小支持度。
It proposes a design plan to implement the recommendation engine using association rules in the end.
最后提出了使用关联规则实现推荐引擎的设计方案。
Mining association rules require two pieces of data, the transaction and what was bought in that transaction.
挖掘关联规则需要两方面的数据，事务及该事务中所包含的信息。
Objective To explore the application of association rules in the analysis of the liver cancer patients data.
目的探讨关联规则方法在肝癌病人资料分析中的应用研究。
Intelligent Miner will derive some association rules you can use to further understand a customer's buying habits.
IntelligentMiner将派生出一些关联规则，您可以使用它们来深入了解顾客的购买习惯。
In this article you learned about association rule mining and how to find association rules with InfoSphere Warehouse.
在本文中，您了解了关联规则挖掘及如何用InfoSphere Warehouse获得关联规则的有关内容。
The conventional framework for mining association rules is the support-confidence framework which has some limitations.
传统的关联规则数据挖掘的支持度-置信度框架存在着弊端。
Note, not all products have related association rules, as the support of the rules may have been too small during computation.
请注意，不是所有的产品都有相关的关联规则，因为这些规则的support在计算过程中可能会过小。
So it will be a unique advantage that managers analysis the enterprise products and make selling plans by association rules.
可见，关联规则用来分析企业产品，制定组合销售有着独特的优势。
In this paper, the author mainly explores, analyzes and evaluates the algorithms FUP and FUP for association rules updating.
本文主要对典型的关联规则更新算法FUP及FUP进行分析、探讨和评价。
Association rules are one of the techniques used in data mining, and particularly useful with e-commerce transactional information.
关联规则是在数据挖掘中所使用的一种技术，并对电子商务事务信息非常有用。
You have learned that data mining with association rules is a useful way to identify related items in your customers' shopping carts.
您已经学习到了使用关联规则的数据挖掘是识别出在顾客购物车中的相关条目的有用的方式。
After representing brain with a tree-like structure, it USES association rules to min the relations between different brain areas.
将大脑用树状结构表示为各个脑区，然后使用关联规则挖掘出不同脑区之间的关系。
It has been proved by an application of the model that it is valid and effective to discover association rules by using this model.
通过该模型的一个应用实例证明利用这个模型来发现关联规则是可行的、有效的。
Mining association rules is a major aspect of data mining research, and maintaining discovered association rules is of equal importance.
挖掘关联规则是数据挖掘研究的一个重要方面，而维护已发现的关联规则同样是重要的。
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。
In this paper, we present a compact method for rules based on adjacent lattice, this method will present user with simplify association rules set.
该文提出了一种基于邻接格的规则集压缩方法，使生成的规则大大精化，从而提供给用户简洁紧凑的关联规则集。
We may discover strongly related data in product information that we get after selling in marketing by association rules and make product association.
在企业营销中对销售产品信息运用关联规则，发现了具有强关联性的数据后，便可以这些数据为基础完成对企业产品的组合销售。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
基于数据变换法，提出使用高效数据结构即倒排文件的隐私保护关联规则挖掘算法ifb - PPARM。
The extractor operator will extract the association rules form the PMML model created by the Associations operator and provides them in a relational table structure.
这个提取器操作符能从pmml模型(由associations操作符创建)提取关联规则并通过关系表结构提供这些规则。
The extractor operator will extract the association rules form the PMML model created by the Associations operator and provides them in a relational table structure.
这个提取器操作符能从pmml模型(由associations操作符创建)提取关联规则并通过关系表结构提供这些规则。
应用推荐