提出了完全关联规则挖掘算法。
This thesis puts forward the excavation algorithm of complete connection rule.
为此，提出一种改进的多层关联规则挖掘算法。
This paper presents an improved multi-level association rule mining algorithm.
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.
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。
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。
Research of alarm correlation method based on dependency search tree in electric power communication network;
传统的关联规则挖掘算法对更新的数据集按平等一致的方式加以处理。
The date-set are managed equally and conformably in the traditional association rule mining algorithm.
根据对关联规则挖掘算法的分析，提出了CPH算法和AOAA算法。
According to the analysis of association rules mining algorithms, the CPH and AOAA algorithms are presented.
本文应用事务间数值型关联规则挖掘算法E-QA来找出股票间的连动规则。
So a new method E-QA is used to discover the association rules among stocks.
提出了一种新的量化关联规则挖掘算法QAR及其增量式更新算法IUQAR。
A novel algorithm, QAR, for mining quantitative association rules and an incremental updating algorithm, IUQAR, are proposed.
发现频繁项集是关联规则挖掘的主要途径，也是关联规则挖掘算法研究的重点。
Discovering frequent item sets is the main way of association rules mining, and it is also the focus of the study in algorithms for association rules mining.
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.
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.
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.
运用面向关联规则的FP树构造方法，提出了一种特异关联规则挖掘算法rsfpa。
Peculiarity association rule mining algorithm RSFPA based on FP-tree is presented by using FP-tree idea oriented association rule miming.
关联规则挖掘算法用于发现关联规则，诸多的研究人员和学者对其进行了大量的研究。
Association rule mining algorithm is used for discovering association rules, and much research was carried out by many researchers and scholars.
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。
Based on in which the concept of the power lattice is given, this paper discusses relation between power lattice and power set lattice in some condition.
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.
采用关联规则挖掘算法对图像纹理的频繁模式进行挖掘，通过联合关联规则来表达纹理。
The frequent patterns of texture could be mined by the algorithm of association rules mining. The association rules could be combined to represent the texture.
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.
现有的传统关联规则挖掘算法构建频繁候选项的方式和修剪技术是其应用于空间数据挖掘的技术难题。
The way of generating frequent candidate a nd pruning technology are difficult technical problem when prenest traditional association rules mining algorithm is used to spatial data mining.
目前关联规则挖掘算法可以分为广度优先算法和深度优先算法两大类，每类都有经典高效的算法提出。
By far, association rule mining algorithms can be divided into two main classes: width first and depth first. There are classical and efficient algorithms in each class.
传统关联规则挖掘算法往往受到数据类型、关联规则的实际意义等约束，大大限制了知识获取的能力。
Most traditional algorithms are constrained by many aspects of practice, such as data type, real-life significance and so on, which probably constrain the capacity of knowledge acquisition seriously.
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.
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.
传统的隐私保护关联规则挖掘算法由于没有考虑规则左右件相关系数的影响，对非敏感规则的支持度影响很大。
Traditional privacy preserving association rule mining algorithms do not consider the correlation of the left hand side and the right hand side, which affect non-restrictive rule support negatively.
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.
文章在分析已有并行关联规则挖掘算法的基础上，讨论了多处理器系统中影响并行关联规则挖掘算法性能的主要问题。
The current algorithms of parallel association rules mining are analyzed, and the main factors affecting the performance of the mining algorithm in the multi-processor system are discussed.
对零售业销售数据关联规则挖掘算法的关键思想进行了研究，给出了各种提高算法效率的方法以及对规则选择的方法。
The key idea of mining association rules for the basket data is studied and several methods to improve algorithm efficiency and rules selection are given.
对零售业销售数据关联规则挖掘算法的关键思想进行了研究，给出了各种提高算法效率的方法以及对规则选择的方法。
The key idea of mining association rules for the basket data is studied and several methods to improve algorithm efficiency and rules selection are given.
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