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.
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.
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.
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.
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.
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。
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.
针对基于区间划分的数值型关联规则分析方法存在的问题，提出了一种基于进制转换的分析方法。
Aiming at the issues on the method of quantitative association rule mining based on section partition, this paper introduces a method based on decimal-binary conversion.
关联规则分析是联机分析挖掘研究的一个重要内容，其目的是找出给定的数据集中的项之间有意义的联系。
Association rules mining is one of the important functions of data mining, which discovers a set of interesting association from relevant sets of data in a database.
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.
通过一系列已定义规则分析和关联这些事件，以触发特定动作或生成派生事件。
Through a defined set of rules, those events are analyzed and correlated to trigger specific actions or to generate derived events.
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.
市场购物篮分析及关联规则挖掘。
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.
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.
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.
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.
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.
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.
采用了属性构造法进行数据预处理，建立了数据挖掘模型，实现了关联规则算法，并对挖掘结果进行解释与分析。
A model of data mining is set up after preparation of data by means of attribute structure, and association rule algorithms are carried out. the data mining result is explained and analysed.
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.
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.
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.
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.
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。
It can be used in the discovery of non-redundant association rules, sequence analysis, and many other data mining problems.
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.
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.
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.
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.
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