关联规则挖掘的应用场景很多。
There are many application scenarios in which association rule mining is used.
市场购物篮分析及关联规则挖掘。
将关联规则挖掘流部署为DB 2存储过程。
Deploy the association rule mining flow as a DB2 stored procedure.
基于卫星云图的关联规则挖掘。
本文将聚类思想引入到关联规则挖掘中。
In this paper, we combine cluster method with mining association rules.
探讨关联规则挖掘在冠心病诊断中的应用研究。
Discusses the application of association rules in coronary heart disease diagnosis.
目的提出基于关系代数理论的关联规则挖掘算法。
Aim To put forward association rule mining algorithm based on relation algebra theory.
文章介绍了应用于空间关联规则挖掘的ILP方法。
This paper introduces an ILP Method Applied in Spatial 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。
Create a Cognos report using results from dynamic association rule mining.
并用实例说明该算法是一种有效的关联规则挖掘方法。
And examples of the algorithm is an effective method for mining association rules.
现有的关联规则挖掘方法中，大多采用单一的最小支持度。
The single minimum support degree is used in the existing association rules mining methods mostly.
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。
The paper presents the application of association rule mining in analyzing techniques and tactics of table tennis match.
关联规则挖掘算法是通信网告警相关性分析中的重要方法。
Mining association rules is one of the primary methods used in telecommunication alarm correlation analysis.
将项目权值引入传统关联规则挖掘中是在项目属性上的扩展。
Introduce the item weights to traditional association rules mining is the expansion in the project properties.
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
To create the association rule mining model and extract the rules to a database table, do the following
关联规则挖掘要求用户要能说明最少support和confidence。
Association rule mining requires the user to state a minimal support and confidence.
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。
The system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
本文对时间序列模式、分类规则和关联规则挖掘的方法进行了深入的研究。
In this thesis, the thorough study of time serial model, classification rule and association rule is made.
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.
通过采用二进制串表示所定义的信息粒，提出了基于粒计算的关联规则挖掘算法。
Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.
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。
Theoretical analysis shows that this paper to protect the privacy of association rule mining method has a very good privacy and efficient.
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。
Association rule mining may help making many business decisions such as catalog design, cross-marketing, and loss-leader analysis.
关联规则挖掘可以发现大量数据项集之间隐含的关系，在许多领域得到了广泛应用。
Mining association rules can find out some potential correlations in large quantity of data and has been applied widely in some fields.
现在，关联规则挖掘流被执行并将所提取的规则返回给FrameworkManager。
Note, now the association rule mining flow is executing and returning the extracted rules to Framework Manager.
研究表明，同孤立的关联规则挖掘方法相比，该方法具有较大的灵活性和更高的效率。
Study shows that this method presents more flexibility and efficiency than the approach of independent mining association rules.
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。
This paper firstly presents a power set-based association rules mining algorithm which USES pow er set as an association rules mining tool.
利用关联规则挖掘，找出数据集中隐含的有用的规则，可以为管理实践提供决策支持。
We can use ARM to find the hidden and useful rules, and then supply decision support for management practice.
本文的内容包括两个方面：关联规则挖掘算法研究和数据挖掘应用系统体系结构的研究。
The content of this paper includes two respects: research of data mining algorithms and the system structure of the application platform of data mining.
本文的内容包括两个方面：关联规则挖掘算法研究和数据挖掘应用系统体系结构的研究。
The content of this paper includes two respects: research of data mining algorithms and the system structure of the application platform of data mining.
应用推荐