通过定义的规则集，将分析和关联这些事件，以触发特定操作或生成派生事件，而这又反过来可供进行进一步分析和关联。
Through a defined set of rules, those events are analyzed and correlated to trigger specific actions or generate derived events, which can in turn contribute to further analysis and correlation.
通过获取、关联、分析和管理对需求所做的更改，团队可以确保项目与目标保持一致，并遵循了规则和标准。
By capturing, linking, analyzing, and managing changes to requirements, teams can ensure that a project is conforming to requirements and complying with regulations and standards.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
此次分析的目的是提取表单的关联规则。
The analytical goal is to extract association rules of the form.
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。
Conclusion Applying association rules analysis in the liver cancer patients data could discover some potential, valuable relationships of multi-factors in the data.
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。
So it will be a unique advantage that managers analysis the enterprise products and make selling plans by association rules.
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.
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。
Objective To explore the application of association rules in the analysis of the liver cancer patients data.
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.
研究如何运用基于云模型改进的关联规则来分析电信客户行为，进行客户行为知识表示。
The application of association rules was discussed based on the cloud model to analyze telecom customer behavior and knowledge representation.
设计了基于序列聚类算法的故障告警关联规则分析模型。
A fault alarms correlation rule analysis model based on sequence clustering algorithm is designed.
关联规则挖掘可以帮助许多商务决策的制定，如分类设计、交叉购物和贱卖分析。
Association rule mining may help making many business decisions such as catalog design, cross-marketing, and loss-leader analysis.
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。
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.
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。
Considering the characteristics of power system, association rules method is applied to the electric marketing analysis.
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.
加权关联规则挖掘是告警相关性分析的重要手段。
The mining of weighted association rules is a primary method used in alarm correlation 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。
In order to assist stock investors to make reasonable decision, it's required to lucubrate on association rules analysis.
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。
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.
本文通过对审计数据进行关联规则分析，发现潜在的攻击系统行为。
This paper focuses on discovering the potential attack behaviors by analyzing association rules in audit data.
数据挖掘面对的任务是复杂的，通常包括分类、预测、关联规则发现和聚类分析等。
Data mining always faces complicated tasks that including classification, prediction, association rule discovering and clustering, etc.
分析了事务与关联规则在二进制序列集中的表示方法及其在空间、时间上的复杂度。
It analyzes the express method of affair and association rule in the binary system sequences set and complexity in space and time.
以某市的实际电力营销数据为例，说明了关联规则的分析方法对电力市场营销具有一定的辅助决策意义。
According to the practical example of a certain city, the association rules method is proved helpful in aided decision-making for electric marketing.
针对数据挖掘技术在期货交易数据中的应用，通过关联规则分析期货价格和客户行为。
Aiming at the application of data mining technology on forward business data, the forward prices and customers' behaviors are analyzed based on association rules.
理论分析表明本文提出的隐私保护关联规则挖掘方法具有很好的隐私性和高效性。
Theoretical analysis shows that this paper to protect the privacy of association rule mining method has a very good privacy and efficient.
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.
关联规则是数据挖掘的一种方法，它的最典型的应用是超市的购物篮分析。
Association rule is a method of data mining, whose typical application is the analysis of shopping basket in supermarket.
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.
利用时态关联规则的分析，可以得到一系列相关性的项目集合，从而为决策提供更加有利的帮助和支持。
A series of correlation item set is obtained by analysing dynamic association rule so as to provide assistance and support for making decision.
介绍关联规则挖掘技术在乒乓球比赛技战术分析中的应用。
The paper presents the application of association rule mining in analyzing techniques and tactics of table tennis match.
介绍关联规则挖掘技术在乒乓球比赛技战术分析中的应用。
The paper presents the application of association rule mining in analyzing techniques and tactics of table tennis match.
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