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- Describes the Microsoft Association Rules Viewer. 介绍Microsoft关联规则查看器。
- In this paper, we introduce the co ncepts of boolean weighted association rules and general fuzzy weighted associat ion rules, and present the basic idea about mining these rules. 本文我们引入布尔型加权关联规则和广义模糊型加权关联规则的概念，并分别给出挖掘这些规则的计算方法。
- E-commerce sites can clearly benefit from strong association rules. 电子商务站点可以很明显的从强大的关联规则中的受益。
- Finally, we parse the PMML 2.0 -- DTD of Association Rules Model. 论文的最后以关联分析为例，对PMML DTD2.;0中的关联分析模块进行了解析。
- Discovering association rules is an important data mining problem. 关联规则的发现是数据开采的一个重要方面 .
- A set of fuzzy association rules mined from the networ... 最后,文中利用遗传算法优化模糊成员函数来选择其参数。
- Are measures of the strength of an association rule. 是关联规则强度的度量。
- Studied algorithm of Association rule in Data Mining. 研究了数据采掘技术中的关联规则算法。
- Association rule mining is an important task of data mining. 关联规则是数据开采的重要研究内容 .
- Mining association rules is an important topic in the data mining research. 关联规则采掘是数据采掘中重要的研究课题。
- Minging association rules have many wide applications in some fields. 关联规则的挖掘已被广泛应用在实际生活中。
- 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。
- Although the values are numeric, association rules mining requires the values to be categorical. 虽然都是整型值,关联规则挖掘要求值是无条件的。
- Mining association rules in a transaction database is a problem with great value. 交易数据库中的关联规则挖掘是一个很有价值的问题。
- In the process of decompose kiln in cement production line, association rules are mined between controlled objects. 以水泥生产线中分解炉控制为例，采用现场实时采集的数据集，挖掘出了相关控制对象之间的关联关系。
- Mining the association rules is an important aspect of the study of data mining. 关联规则的采掘是数据采掘研究的一个重要方面 .
- Discovering frequent itemsets is a key problem in data mining association rules. 发现频繁项目集是关联规则数据开采中的关键问题。
- Then, the parallel algorithm for mining Boolean association rules is improved to discover frequent fuzzy attributes. 用改进布尔型关联规则的并行挖掘算法来发现频繁模糊属性集.
- Association rules used in mining the database of tumor diagnoses can provide useful information for tumor diagnoses. 挖掘肿瘤诊断数据库中的关联规则,能为肿瘤诊断提供有用的信息。
- Association rules is a crucial problem in Knowledge Discovery in Databases（KDD）. 摘要 关联规则是数据库中的知识发现（KDD）领域的重要研究课题。
