针对此类问题，文章提出新的加权关联规则模型，并提出了完全加权关联规则的挖掘算法。
Aiming at the problem, this paper puts forward a new model of weighted association rules for solving the problem, and proposes an algorithm to discover all-weighted association rules.
通过概念提升及删除无关维，由七维图像关联规则模型7d_ar可以演化出维数小于七维的各种关联则。
Through concept generalization and deleting irrelevant dimension, various association rules less than 7d can be evolved from the 7d image association rules model 7d_ar.
首先，必须创建一个关联规则模型，该模型被存储为PMML，从中可以提取这些规则并将其放入一个数据库表以供日后的Cognos访问。
First, you must create an association rule model which is stored as PMML from which you can extract the rules into a database table for later Cognos access.
下面的示例显示了如何创建挖掘流程，同时创建关联模型并从中提取规则。
In the following example, see how to create the mining flow, creating the association model and extracting the rules from it.
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
这些从关联模型中提取出来的规则由此存储过程返回并导入到Cognos作为查询主题。
The extracted rules of the association models are returned by the stored procedure and imported into Cognos as query subjects.
由于这个示例程序并没有与组件关联任何有效性验证规则(在下一篇文章中我们将介绍这种特性)，因此您可以继续进入更新模型值的阶段了。
Since this example application doesn't have validators associated with the components (I'll introduce this feature in the next article), you'll simply advance to the update model values phase.
不规则的实现引用了架构样式的能力来在他的交互模型中通过合成的方式来应用与参与者关联的模式和角色。
Fractal realization refers to the ability of an architectural style to apply its patterns and the roles associated with the participants in its interaction model in a composite manner.
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.
采用了属性构造法进行数据预处理，建立了数据挖掘模型，实现了关联规则算法，并对挖掘结果进行解释与分析。
A model of data mining is set up after preparation of data by means of attribute structure, and association rule algorithms are carried out. the data mining result is explained and analysed.
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。
It has been proved by an application of the model that it is valid and effective to discover association rules by using this model.
研究如何运用基于云模型改进的关联规则来分析电信客户行为，进行客户行为知识表示。
The application of association rules was discussed based on the cloud model to analyze telecom customer behavior and knowledge representation.
设计了基于序列聚类算法的故障告警关联规则分析模型。
A fault alarms correlation rule analysis model based on sequence clustering algorithm is designed.
提出了一种新的模型——规则树来进行图像关联规则的分层次提取。
This paper proposes a new model "rule tree" to derive layered image association rules.
关联模型，主要用于发现桥梁结构或环境参数之间的关联规则。
Associate model, mainly used for find out the associate rule between the bridge architecture and environmental parameters.
最后根据改进的关联规则学习算法的核心思想，对网络安全审计模型进行了设计，并给予实现。
Finally, basing on the core idea of improved association rule learning algorithms, this thesis designs and achieves simple models of network security audit.
关联规则挖掘是数据挖掘中的一个重要的模型。
Association rule mining is an important model in data mining.
关联规则挖掘是数据挖掘中的一个重要的模型。
Association rules mining is an important model in data mining.
最后对基于MADSPM模型的流数据关联规则挖掘问题中需注意的一些问题进行了阐述与分析。
Finally the problems in applying the MADSPM model to association rule mining in stream data are discussed and the strategies for solving them are also given.
并通过定义与深入分析故障告警中的关联规则和情节规则，提出了一个基于数据融合和数据挖掘技术的网络故障管理的架构模型。
It presents a new model for network fault management based on data fusion and data mining by defining and discussing the association rule and the frequent episodes.
文章提出了一个基于约束条件、以用户为中心、交互性较强的关联规则挖掘模型。
This paper puts forward a digging model about relationship rules, which is based on restricted condition and which centre around the users.
对关联规则挖掘问题建立了完全格描述并给出了问题规模下限，提出了一种基于搜索空间划分的项集频度计算模型。
The problem of mining association rules with lattices is descried and the lower bonds of the problem′s are gained.
明确提出挖掘延迟关联规则的模型，根据延迟规则的定义提出两种挖掘方法，并针对两种算法进行了相关的对比分析。
The article introduces a temporal association rule model based on time series data. According to the definition, two algorithms are developed and compared.
明确提出挖掘延迟关联规则的模型，根据延迟规则的定义提出两种挖掘方法，并针对两种算法进行了相关的对比分析。
The article introduces a temporal association rule model based on time series data. According to the definition, two algorithms are developed and compared.
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