Market basket analysis and association rule mining.
市场购物篮分析及关联规则挖掘。
Association rule mining is an important part of date mining.
挖掘关联规则是数据挖掘中一个重要组成部分。
Deploy the association rule mining flow as a DB2 stored procedure.
将关联规则挖掘流部署为DB 2存储过程。
Create a Cognos report using results from dynamic association rule mining.
使用来自动态关联规则挖掘的结果创建一个Cognos报告。
There are many application scenarios in which association rule mining is used.
关联规则挖掘的应用场景很多。
Association rule mining requires the user to state a minimal support and confidence.
关联规则挖掘要求用户要能说明最少support和confidence。
This paper introduces an ILP Method Applied in Spatial Association Rule Mining.
文章介绍了应用于空间关联规则挖掘的ILP方法。
After finishing the exchange we can mining it by the association rule mining method.
在完成这种转换后即可使用关联规则的挖掘方法。
Aim To put forward association rule mining algorithm based on relation algebra theory.
目的提出基于关系代数理论的关联规则挖掘算法。
First, learn about the task of association rule mining and how to achieve it in InfoSphere Warehouse.
首先，我们先来了解关联规则挖掘的任务以及如何在InfoSphere Warehouse内实现此任务。
To create the association rule mining model and extract the rules to a database table, do the following
要创建关联规则挖掘模型并将这些规则提取到数据库表，可以执行如下操作
Association rule mining which is a method of data mining reveals the latent information and knowledge.
作为一种数据挖掘的方法，关联规则揭示了数据中隐藏的信息和知识。
The date-set are managed equally and conformably in the traditional association rule mining algorithm.
传统的关联规则挖掘算法对更新的数据集按平等一致的方式加以处理。
Note, now the association rule mining flow is executing and returning the extracted rules to Framework Manager.
现在，关联规则挖掘流被执行并将所提取的规则返回给Framework Manager。
It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
Second, we realize application and prediction by association rule mining in the audit department of tax system.
利用关联规则算法实现了在税务稽查部门进行预测的方法。
Feature association rule mining is filtering and finding characteristic patterns between object and background.
特征关联就是从复杂背景中筛选与发现目标特征，揭示目标与背景之间的特征模式。
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。
You can use the results from association rule mining to set up bundles of packages that customers tend to buy together.
您可以使用关联规则中规则进行挖掘，然后设置用户有意要一起购买的捆绑包。
Association rule mining is invoked by calling a stored procedure as all other mining operations in InfoSphere Warehouse.
对关联规则挖掘的调用是通过调用一个存储过程完成的，与InfoSphere Warehouse内的所有其他挖掘操作无异。
The paper presents the application of association rule mining in analyzing techniques and tactics of table tennis match.
介绍关联规则挖掘技术在乒乓球比赛技战术分析中的应用。
In this article, we discussed an analysis method of library 's hook circulation data, the association rule mining method.
本文探讨了图书流通数据的一种量化分析方法-关联规则的挖掘。
While they are commonsense, association rule mining can find many other interesting interactions, such as' beer and diaper '.
有趣的是，关联规则挖掘能找到，像“啤酒与尿不湿”被同时销售，这种非常识性知识。
Meanwhile this paper discusses the influence of time on associations rule mining and the application in guide reading system.
规则判断条件采用的是抽样平均可信度。同时，探讨了时间对关联规则挖掘产生的影响以及在导读系统中的应用。
Association rule mining may help making many business decisions such as catalog design, cross-marketing, and loss-leader analysis.
关联规则挖掘可以帮助许多商务决策的制定，如分类设计、交叉购物和贱卖分析。
The system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
本系统给出了基于关联规则挖掘和基于用户事务模式聚类两种推荐算法。
Peculiarity association rule mining algorithm RSFPA based on FP-tree is presented by using FP-tree idea oriented association rule miming.
运用面向关联规则的FP树构造方法，提出了一种特异关联规则挖掘算法rsfpa。
Theoretical analysis shows that this paper to protect the privacy of association rule mining method has a very good privacy and efficient.
理论分析表明本文提出的隐私保护关联规则挖掘方法具有很好的隐私性和高效性。
Association rule mining is a highly interactive task, and users usually have to try many different parameter Settings to achieve the desired result.
关联规则挖掘是一项高度交互的任务，用户通常需要尝试多种参数设置才能达到理想的结果。
Association rule mining is a highly interactive task, and users usually have to try many different parameter Settings to achieve the desired result.
关联规则挖掘是一项高度交互的任务，用户通常需要尝试多种参数设置才能达到理想的结果。
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