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。
Association rules are one of the techniques used in data mining, and particularly useful with e-commerce transactional information.
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。
You have learned that data mining with association rules is a useful way to identify related items in your customers' shopping carts.
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。
Mining association rules require two pieces of data, the transaction and what was bought in that transaction.
您可以将在数据挖掘中发现的每条规则表示成商品销售关联。
You can express each rule found in the data mining as a merchandising association.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
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
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。
The conventional framework for mining association rules is the support-confidence framework which has some limitations.
其次，分析了数据挖掘中所使用的关联规则和序列模式，对关联规则和序列模式的各种挖掘算法进行了比较。
Secondly, it analyzed association rule and sequence mode used in the process of data mining and compared the main algorithms of association rule and sequence mode.
数据挖掘是当今国际人工智能和数据库研究的新兴领域，而关联规则的更新是数据挖掘的一个重要研究内容。
Data mining is a new emerging area for the research of artificial intelligence and databases, in which incremental updating of association rules is an important research topic.
挖掘关联规则是数据挖掘研究的一个重要方面。
Mining association rules is a major aspect of data mining research.
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。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
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。
Mining association rules is a major aspect of data mining research, and maintaining discovered association rules is of equal importance.
量化关联规则的挖掘是数据挖掘的一项重要任务。
Mining quantitative association rules is an important task of data mining.
关联规则是数据挖掘的一种方法，它的最典型的应用是超市的购物篮分析。
Association rule is a method of data mining, whose typical application is the analysis of shopping basket in supermarket.
关联规则是数据挖掘的重要研究内容之一。
Association rules is an important part of data mining research.
关联规则是一种重要的数据挖掘技术。
Association rules is an important method of data mining techniques.
关联规则是数据挖掘的主要技术之一。
Association rule is one of the key technologies in data mining.
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.
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.
关联规则是数据挖掘最重要的课题之一。
Association rules are an important aspect of research of Data Ming.
介绍了遥感图像数据的关联规则挖掘方法。
This paper describes the methods of data mining by means of association rules.
挖掘关联规则是数据挖掘的一个重要任务之一。
Discovering association rules is one of the most important task in data mining.
关联规则是数据挖掘研究领域的一个重要分支。
Association rules are an important aspect of research of Data Minging.
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 used in mining the database of tumor diagnoses can provide useful information for tumor diagnoses.
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。
Association rule mining which is a method of data mining reveals the latent information and knowledge.
在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题，而挖掘出的关联规则数目常常是巨大的。
Discovering association rules between items in a large database is an important data mining problem as the number of association rule is usually very larger.
在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题，而挖掘出的关联规则数目常常是巨大的。
Discovering association rules between items in a large database is an important data mining problem as the number of association rule is usually very larger.
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