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。
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。
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。
Association rules are one of the techniques used in data mining, and particularly useful with e-commerce transactional information.
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。
Mining association rules is a major aspect of data mining research.
挖掘关联规则是数据挖掘研究的一个重要方面。
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.
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。
Mining quantitative association rules is an important task of data mining.
量化关联规则的挖掘是数据挖掘的一项重要任务。
Mining association rules is a major aspect of data mining research, and maintaining discovered association rules is of equal importance.
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。
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.
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。
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.
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。
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。
Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.
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。
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一种方法，它的最典型的应用是超市的购物篮分析。
Mining of association regulation based on nephograms.
基于卫星云图的关联规则挖掘。
Study shows that this method presents more flexibility and efficiency than the approach of independent mining association rules.
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。
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。
We need search after the new methods of mining association rules, so as to avoid several bugs of frequent items.
为了避免频集方法的一些缺陷，我们需要探索挖掘关联规则的新方法。
Mining association rules is one of the primary methods used in telecommunication alarm correlation analysis.
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。
Two methods of mining normal association rules are compared in the last part.
最后对两种挖掘正态关联规则的方法进行了比较。
Rule clustering re-organizes rules which are generated during the procedure of association rule mining, to help customers find out interested rules.
规则聚类将关联规则挖掘产生的大量规则重新组织，帮助用户发现感兴趣的规则。
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。
The algorithm of mining inter-transactional quantitative association rules is propose.
提出了事务间量化关联规则的挖掘算法。
According to the analysis of association rules mining algorithms, the CPH and AOAA algorithms are presented.
根据对关联规则挖掘算法的分析，提出了CPH算法和AOAA算法。
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。
Attributes in the database of tumor diagnoses are usually quantitative attributes, so quantitative attribute discretization is a problem of mining association rules.
肿瘤诊断数据库中的属性常为数量型属性，因此如何将数量型属性离散化是挖掘关联规则的难点。
This method conquers the disadvantage of traditional association rules mining methods, mining rules while mining frequent-item set, so the mining efficiency is greatly enhanced.
该方法克服了传统关联规则挖掘方法的不足，在产生频繁项集的同时进行规则挖掘，从而提高了挖掘效率。
The method of mining normal association rules is also provided. With this method, all interesting normal association rules can be mined.
接着给出正态关联规则的挖掘方法，此方法能挖掘出所有有意义的正态关联规则。
The method of mining normal association rules is also provided. With this method, all interesting normal association rules can be mined.
接着给出正态关联规则的挖掘方法，此方法能挖掘出所有有意义的正态关联规则。
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