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.
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 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。
Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.
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。
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。
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。
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。
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。
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。
Mining association rules with ontological information bases on built domain ontology, using an algorithm of data mining, to produce semantic association rules which are more greatly satisfying users.
基于本体的关联规则挖掘，是利用构建好的领域本体，结合数据挖掘算法，产生出具有语义的更符合用户需求的关联规则。
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。
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。
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。
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。
Defining interestingness and putting forward new algorithm of mining association rules including negative items.
定义兴趣度，提出挖掘含负属性项关联规则算法。
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。
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。
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。
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。
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。
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。
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。
The key problem in distributed association rules mining is to cluster partition in distributed environment. This paper presents an algorithm called D-CURE which is based on the principle of CURE.
在分布式关联规则挖掘中首先需要解决分布式环境下的聚类分区问题，该文基于CURE的工作原理，提出了D -CURE算法。
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。
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。
Provides a practical updating algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.
提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则更新算法。
This paper provides a practical maintenance algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.
提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则维护算法。
This paper provides a practical maintenance algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.
提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则维护算法。
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