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。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
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。
And examples of the algorithm is an effective method for mining association rules.
并用实例说明该算法是一种有效的关联规则挖掘方法。
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。
Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.
讨论了区间值关系数据库上模糊关联规则的挖掘算法与预测方法。
The mining method of the linguistic value association rules is also provided.
另外，给出了语言值关联规则的挖掘方法。
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。
This paper presents a cluster method for discretization in the processing of mining quantitative association rules.
应用聚类方法研究了数量关联规则提取过程中的连续属性离散化问题。
Example shows that a new resolution ratio and combination of data mining association rules theory of gray correlation assessment method is an effective method.
实例分析表明采用新的分辨系数并且结合数据挖掘的关联规则理论的灰色关联评估法是一种有效的方法。
Absrtact: Presents a method of clustering based on mining association rules.
摘 要：提出了一种基于关联规则挖掘的聚类方法。
The mining of weighted association rules is a primary method used in alarm correlation analysis.
加权关联规则挖掘是告警相关性分析的重要手段。
Based on the above problem this paper presented a method called association rules mining with fuzzy quantitative constraints.
基于上述问题，提出了一个基于模糊数值约束的关联规则挖掘方法，实际挖掘结果表明这种方法是有效的。
Association rules is an important method of data mining techniques.
关联规则是一种重要的数据挖掘技术。
Mining for association rules is a simple and very useful data mining method.
关联规则发现是数据挖掘技术的一种简单又很实用的方法。
The method can control and manage the dynamic data grid overall situation ground, can trigger the data mining by order, can scoop out data using association rules by prime number saving.
该方法采用数据网格树对动态数据网格进行全局控制和管理，采用挖掘作业命令的形式触发域挖掘作业，采用素数存储的方法进行了关联规则挖掘。
In this paper, we combine cluster method with mining association rules.
本文将聚类思想引入到关联规则挖掘中。
The association analysis method can be applied to analyzing the microarray datasets, mining association rules of genes, and then constructing gene regulatory network.
关联分析方法用于分析微阵列数据集基因间相关联系，生成关联规则，进而构建基因调控网络。
In this paper we propose an algorithm which can mining quantitative association rules in rough set. The pattern mined by this method has high precision.
本文提出一个利用关联规则技术从粗糙集中发现知识的算法，该算法挖掘出的模式具有较高的精确度。
The method of association rules mining can be applied to mine CCI;
采用挖掘关联规则的方法可以挖掘出冲突课程集；
The method of association rules mining can be applied to mine CCI;
采用挖掘关联规则的方法可以挖掘出冲突课程集；
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