The general association rules discovery algorithm is using in the framework of confidence and support.
一般的关联规则发现算法使用的都是支持度、置信度框架。
It can be used in the discovery of non-redundant association rules, sequence analysis, and many other data mining problems.
它可以进一步应用到无冗余关联规则发现、序列分析等许多数据挖掘问题。
Discovery of association rules is a very hot topic in data mining research, which has been found applicable and useful in many areas.
关联规则发现是数据库中知识发现研究中的热点课题，有着广泛的应用领域。
Subsequently, the association rule discovery algorithm is employed to discover the sequence association rules.
最后应用关联规则发现算法进而发现序列关联规则。
Discovery of association rules is an important task in data mining, which has been found very useful in many areas.
关联规则发现是数据挖掘中的重要问题，有广泛的应用领域。
In previous work, items sales had not been considered in the algorithm discovery association rules.
在以前的研究中，关联规则发现算法一般都没有考虑项目的销售数量。
There have been many algorithms proposed for efficient discovery of association rules in large databases. However, little work has been done on maintenance of discovered association rules.
目前已经提出了许多用于高效地发现大规模数据库中的关联规则的算法，而对已发现规则的更新及维护问题的研究却较少。
Updated solution in parallel implementation of discovery of association rules was studied, and IDD algorithm based on DD algorithm was introduced.
研究了采用并行算法挖掘关联规则的优化方案。在数据分发（DD）算法的基础上引入了改进的智能数据分发（IDD）算法；
This paper discusses the essential concepts, the procedure of Mining Association Rules, an active field in KDD (Knowledge Discovery in Database), as well as the open problems faced in this field.
围绕KDD的一个重要发现任务——关联规则发现，介绍了这一领域基本概念、处理技术以及面临的问题。
This paper discusses the essential concepts, the procedure of Mining Association Rules, an active field in KDD (Knowledge Discovery in Database), as well as the open problems faced in this field.
围绕KDD的一个重要发现任务——关联规则发现，介绍了这一领域基本概念、处理技术以及面临的问题。
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