定义兴趣度，提出挖掘含负属性项关联规则算法。
Defining interestingness and putting forward new algorithm of mining association rules including negative items.
论文提出了基于关联规则算法的目标值确定的设计思路。
The approach of using association rule algorithm to determine the optimization value is presented in this paper.
利用关联规则算法实现了在税务稽查部门进行预测的方法。
Second, we realize application and prediction by association rule mining in the audit department of tax system.
第四章研究了关联规则算法按层次，按系统结构的进一步拓展。
Chapter four studied the Association Rules algorithm according to the level, has pressed the further expansion of the systematic structure.
最后利用聚类算法和关联规则算法实现了用户个性化服务的一个应用实例。
At last, the paper presents a new application example which uses Clustering and Association Rule algorithms to implement personal server.
提取网络入侵模式所用的主要有分类算法、关联规则算法和序列规则算法等。
Major methods to distill network intrusion mode are class algorithm, association rule algorithm and frequent episodes algorithm.
采用加权关联规则算法对设备历史数据库进行挖掘，建立加权关联规则模式库。
With historical equipment database, weighted association rule algorithm is adopted to conduct data mining. By using weighted association rules, a model base is established.
该算法首先利用普通的关联规则算法产生频繁集，然后在该频繁集的基础上产生加权频繁集。
This algorithm first produces frequent items using previous common association rules mining algorithm, then produces weighted frequent items from the previous frequent items.
本文主要研究了聚类分析算法和关联规则算法，根据实际应用问题，对算法进行了部分改进。
The algorithm of clustering analysis and association rules is the main point, and revision to some specific problems in practice.
本文通过对关联规则挖掘算法的详细分析，应用了一种改进的关联规则算法对学生成绩进行挖掘。
The paper through the analysis of association rule mining algorithm, an improved association rule algorithm is applied to mining student achievement.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
同时，给出了最优的最小支持度设定方法，保证了普通关联规则算法所产生的频繁集为加权频繁集的超集。
This paper also discusses how to set the optimal minimum support for the common association rules mining algorithm, which can guarantee the frequent items are the weighted frequent items' superset.
对简单关联规则和原关联规则进行了分析比较，给出了挖掘原关联规则算法，并举例说明算法的执行过程。
Here analyzes tow association rules, and gives the original association rules algorithm and an example shows the operational process of the algorithm.
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.
同时，设计出了FARM模糊动作关联规则算法，对企业关系价值真实数值型数据进行挖掘，并挖掘出提升企业关系价值的主要规则。
Meanwhile, FARM algorithm is designed to mine the real numerical data of enterprise relationship value. Then, the promotion rules of relationship value are put forward.
本文介绍了数据仓库、知识发现以及数据挖掘的概念，详细分析了关联规则算法，时纳税人采用的主要违法违章手段之间的关联关系进行了数据挖掘。
In this article we introduced the concepts of DW, KDD and DM, analysed the association rules algorithm and used it into mining the association rules of kinds of tax offence.
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.
本文主要对典型的关联规则更新算法FUP及FUP进行分析、探讨和评价。
In this paper, the author mainly explores, analyzes and evaluates the algorithms FUP and FUP for association rules updating.
该类算法的提出，为关联规则的精简提供了一种新的解决方法。
This kind of algorithms provides a new method for reducing the set of association rules.
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.
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。
Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.
目的提出基于关系代数理论的关联规则挖掘算法。
Aim To put forward association rule mining algorithm based on relation algebra theory.
最后，讨论了生成子的性质及连接策略，并在包含索引的基础上，给出了一种宽度优先的无冗余关联规则挖掘算法。
Finally, the characteristics and connection strategies of generator are presented, and based on subsume index, a breadth-first algorithm for mining non-redundant association rule is proposed.
为了提高对隐私数据的保护程度和挖掘结果的准确性，提出一种有效的隐私保护分布式关联规则挖掘算法。
In order to raise the level of protection of data privacy and accuracy of the outcome of the excavation, an effective protection of the privacy of distributed algorithms Mining Association Rules Act.
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.
现有关联规则挖掘算法都是在频繁项集基础上进行挖掘，关于非频繁项集的资料很少。
The existing association rules mining algorithms are chiefly based on frequent itemsets, and the record about infrequent itemsets is very rare.
首次提出了利用幂集作为挖掘关联规则的工具，给出了基于幂集的关联规则挖掘算法。
This paper firstly presents a power set-based association rules mining algorithm which USES pow er set as an association rules mining tool.
提出了事务间量化关联规则的挖掘算法。
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。
The algorithm of mining inter-transactional quantitative association rules is propose.
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