Chapter four studied the Association Rules algorithm according to the level, has pressed the further expansion of the systematic structure.
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。
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.
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。
The typical Mining Association Rules algorithm is by R.
典型的关联规则发现算法是由R。
The recommended algorithm of UAPOMR system includes recommendation based on transaction_clusters and recommendation based on association rules clusters.
UAPOMR系统的推荐算法包括基于事务聚类的推荐和基于关联规则聚类的推荐。
The optimal fuzzy association rules can be mined due to the optimal fixed clustering number that can be obtained by the relational competitive agglomeration algorithm.
由于关系数据的竞争聚集算法能得到优化的固定的聚类个数，因此能挖掘出优化的模糊关联规则。
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。
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。
Based on the mined association rules, this algorithm optimizes the storage structure of association rules, a nd extends SQL-like query statement.
在算法实现的过程中对关联规则集存储结构进行了优化，并扩展了类sQL查询语句。
According to the basic pattern of sales based on Internet and the attribute of mix marketing strategy dug out, this paper proposes a new algorithm of mining association rules based on constraints.
针对目前我国网络销售的基本模式，在已发现的组合营销策略特点的基础上，提出了一种基于约束的关联规则挖掘新算法。
This paper proposes a new algorithm for mining association rules with composite items based on the FP-growth algorithm.
文章基于FP-增长算法提出了一种新的挖掘复合项关联规则的算法。
As for quantitative attributes, they are divided into several fuzzy sets by the competitive agglomeration algorithm, and then the algorithm for mining weighted fuzzy association rules is provided.
对数量型属性，应用竞争聚集算法将数量型属性划分成若干个模糊集，并系统地提出加权模糊关联规则的挖掘算法。
According to the value of consult, association rules were classified into positive, negative and invalid association rules. The new algorithm could find out the negative-item-contained rules.
利用参考度将关联规则分为正关联规则、负关联规则和无效关联规则，从而可以用算法挖掘带有负项的关联规则。
A discussion is made on how to identify relevant reader attributes in regard of the books they checked out and MAR_LCR algorithm is applied to the circulation records to mine the association rules.
接下来本文讨论如何确定借阅记录中与借阅图书类型相关的读者属性并应用MAR_LCR算法对借阅记录进行关联规则的挖掘。
By modifying, the algorithm ML_DFPT can also distribute mine of cross level association rules using cross level mining information.
并通过对ML_DFPT算法进行部分修改，使算法可根据跨层挖掘信息在特定的层间挖掘出层间关联规则。
In allusion to this limitation, how to enhance the efficiency of mining algorithm becomes the core issue of association rules mining research.
针对这一局限性，如何提高挖掘算法的效率就成为了关联规则挖掘研究的核心问题。
Finally, valuable decision-making information is discovered by using the parallel algorithm based on FP-growth while mining the association rules of online transactions.
利用该算法对网上交易进行关联规则挖掘，发现了有价值的决策支持信息。
Study the theories and algorithm of multi-dimensional of temporal association rules and the experimental results on the stock data are shown.
研究了多维时态关联规则挖掘的理论、算法，并进行了数值实验。
Aiming at the problem, this paper puts forward a new model of weighted association rules for solving the problem, and proposes an algorithm to discover all-weighted association rules.
针对此类问题，文章提出新的加权关联规则模型，并提出了完全加权关联规则的挖掘算法。
Classification based on association (CBA) algorithm built a classifier based on the association rules, without considering the uncertainty in the classification problem.
关联规则分类器(CBA)利用关联规则来构造分类算法，但其没有考虑分类问题中的不确定性。
The stress of main memory is abated, the times of scan of database are cut down, and the algorithm executes more efficient mining of association rules in time-variant database.
该算法通过分组及时舍弃挖掘过程中生成的非频繁项目集，有效降低主存压力，减少对数据库的扫描次数，能够对时变数据库进行高效地关联规则挖掘。
In this paper, one new maintenance algorithm is presented for the efficient maintenance problem of association rules.
该文提出一个新的维护算法，用来解决关联规则的更新维护问题。
Since the first algorithm of Classification Based on Association rules (CBA) was introduced in 1998, the algorithm design of associative classification and its application have been very active.
自1998 年出现第一个基于关联的分类算法（CBA）以来，关联分类算法的设计及应用研究一直非常活跃。
This algorithm first produces frequent items using previous common association rules mining algorithm, then produces weighted frequent items from the previous frequent items.
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。
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.
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 algorithm for mining time-series association rules is given. Finally, an example is used as a case to illustrate the technique to be effective and feasible.
给出了时间序列关联规则的挖掘算法，并举例说明该算法是有效的和可行的。
The experiments show that the improved learning algorithm of association rules in network security audits have better performance of automatic adaptive capacity, achieving the expected effect.
实验结果表明，改进的关联规则学习算法在网络安全审计的自适应能力上有较好表现，取得了预期效果。
The result shows that the efficient algorithm can discover interesting and strong multiple -level association rules.
结果表明，该算法能得到有效的基于概念层次的关联规则。
Absrtact: In the study of updating algorithm for incremental association rules, litde research has been done on the negative incremental updating algorithm.
摘 要：在增量式关联规则更新算法的研究中，关于负增量式更新算法的研究比较少。
Absrtact: In the study of updating algorithm for incremental association rules, litde research has been done on the negative incremental updating algorithm.
摘 要：在增量式关联规则更新算法的研究中，关于负增量式更新算法的研究比较少。
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