In order to assist stock investors to make reasonable decision, it's required to lucubrate on association rules analysis.
为了辅助投资者对股票投资做出正确的决策，需要对股票时间序列进行详尽的关联规则分析。
The tasks of data mining include association rules analysis, time series module, cluster analysis, classification and predication and so on.
数据挖掘的任务有关联分析、时序模式、聚类、分类与预测等。
Conclusion Applying association rules analysis in the liver cancer patients data could discover some potential, valuable relationships of multi-factors in the data.
结论在肝癌病人资料中应用关联规则分析可以揭示多因素间潜在的、有价值的关系。
Objective To explore the application of association rules in the analysis of the liver cancer patients data.
目的探讨关联规则方法在肝癌病人资料分析中的应用研究。
So it will be a unique advantage that managers analysis the enterprise products and make selling plans by association rules.
可见，关联规则用来分析企业产品，制定组合销售有着独特的优势。
Introducing association rules into the analysis of medical data, making up statistics methods, and getting rich information possibly are the main aim of the study.
将关联规则挖掘引入医学资料的分析之中，弥补传统统计学方法的不足，最大可能地获取数据中含有的信息是本研究的目的。
It can be used in the discovery of non-redundant association rules, sequence analysis, and many other data mining problems.
它可以进一步应用到无冗余关联规则发现、序列分析等许多数据挖掘问题。
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。
According to the analysis of association rules mining algorithms, the CPH and AOAA algorithms are presented.
根据对关联规则挖掘算法的分析，提出了CPH算法和AOAA算法。
It is shown that association rules can be adapted to feature selection which are used in image analysis and they can automatically identify the most confident feature.
关联规则的方法非常适用于图像分析中的特征选择，可以自动地选出可信度较高的特征。
The association analysis using data mining theory, a certain life insurance policies the company's history database of the excavation, has been reasonable, reliable association rules.
文章运用数据挖掘的关联分析理论，对某人寿保险公司历史保单数据库进行了挖掘，得到了一些合理、可靠的关联规则。
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。
The algorithm of clustering analysis and association rules is the main point, and revision to some specific problems in practice.
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。
Considering the characteristics of power system, association rules method is applied to the electric marketing analysis.
结合电力行业的特殊性，将关联规则应用于对电力市场营销分析中。
The rules in pair of herbs were 19, and rules in group of herbs were 25 by association analysis. The rules consisted mostly of compatibility of qi-reinforcing drugs and hemorheologic agent.
经关联规则分析，共得药对规则19条，药组规则25条，主要为益气药与活血药的配伍组合。
These technologies include: association rules, statistics, forecast and analysis.
这些技术包括：关联规则、统计、预测分析、数据融合等。
This paper discusses how to make use of association rules in IDS audit data analysis. With an improved OPUS algorithm, some tests are done.
讨论了用数据挖掘中的关联规则对IDS审计数据进行分析，给出了一种改进的OPUS算法，并对实验结果进行分析。
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。
It includes lots of measures such as association rules mining, classification and prediction, clustering analysis and evolvement analysis.
它包含关联规则挖掘、预测、分类、聚类、演化分析等多种技术手段。
It includes lots of measures such as association rules mining, classification and prediction, clustering analysis and evolvement analysis.
它包含关联规则挖掘、预测、分类、聚类、演化分析等多种技术手段。
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