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apriori相关的网络例句

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We implement some of data mining arithmetic witch can be used in 's the CRM of commercial bank.

3实现了一些可以为银行的客户关系管理的数据挖掘算法,分别是:分类和预测的决策树方法、发现关联规则的Apriori算法。

During the study of the subject, I have an all-around understanding about the theory and application of Data Mining through reading bookmaking and papers in this field.Based on the research on algorithms, we realized one example following the workflow of Data Mining, which helps us understand the application of the technology.KEYWORDS: data mining , association rule , apriori algorithm

在课题的研究过程中,我通过阅读大量国内外著作、论文,对数据挖掘技术的理论和应用有了一个较为全面的了解,在理论上对关联规则的挖掘算法进行了深入的研究,对于数据挖掘的应用通过实现具体的实例进行研究,并且对挖掘结果进行评价,从而对数据挖掘的应用步骤有了更加深刻的理解。

In fact most Apriori which has gained association Rules suppose whither time or place is effective for ever, but this can"t solve some impersonal problem in morden life, iradionary association Rules in a general way can answer some question for example, there are 90 percent people buy sugar of who buy creamery ,but they can"t answer such question for example the people who buy creamery, but they cant answer such question for example the people who buy creamery of counter one today but there are 90 percent will buy sugar of counter two, moreover, such problem sometimes is the person of decision-making concerned thing because many things have relation with the factor of time and space, so it need consider the factor of time and space in date.

大多数算法得到的关联规则事实上都假定无论是时间还是地点都是永远有效的,但这并不能彻底解决现实生活中的许多客观问题。传统的关联规则一般可以回答诸如"购买了牛奶的人有90%购买了糖"之类的问题,但是不能回答"今天购买了柜台1中牛奶的人明天有90%购买了柜台2中的糖"之类的问题,而这类问题也往往是决策者在实际中所关心的。

This present algorithm further distinguishes itself through sufficiently utilizes the advantage that the vector sensors provide from other beam space DOA algorithms in several regards: 1 beams are formed in the vector-field domain; 2 produce at moderate signal-to-noise ratio estimation performance comparable to the traditional scale array methods;3 these vector-field beams are formed blindly using no apriori source information and coarse estimates of the direction cosine are derived to start off MUSICs iterative search so it demand less computation; 4 deploy agilely , since the fact that the output channel is various .

本文提出了矢量传感器阵列的自适应综合校准补偿方法,还提出利用单矢量传感器速度协方差矩阵分解来求解目标源方位,使得我们不要求校准源是合作性的,也无需知道校准源的先验知识,这比起常规辅助源校准方法具备较大宽容性。随着高性能阵列处理技术及数字信号处理硬件的快速发展和矢量传感器制造工艺的不断成熟,矢量传感器将在新型水雷、低频远程智能鱼雷、声纳浮标、低频拖曳线列阵和新型舰壳声纳,灵巧传感终端,战场监视系统,反隐形雷达,通讯等军民用领域取得良好的发展应用前景。

The paper first obtains the L2 -apriori estimates for the solutions of two kinds of autocatalytic model s under Dirichlet boundary conditions, and then, using the properties of linear semigroup and delicate calculations, the estimates of the maximal norms are obtained, therefore, the global existence of the solutions is proved.

该文利用重要不等式及能量积分方法首先得到了解的初等的先验估计。然后利用线性半群的有关性质及精细计算得到了解的最大模估计,从而证明了两类三次自催化模型在Dirichlet边界条件下整体解的存在性,并进而证明了第一类模型的最大吸引子的存在性

According to different purposes, we choose the Association analysis for the relation of alarms, Apriori algorithm, Eclat algorithm and MTAEM algorithm are compared in this paper, Apriori algorithm and MTAEM algorithm are choosed after the comparasion.

文中讨论和分析了IP网管告警数据的特点,根据告警相关的任务,分析了几种数据挖掘技术在IP网管告警数据挖掘中的适用性。

Through introducing compress and expurgate method,and adopting reformative matrix-based algorithm,the IMM_Apriori algorithm capability is improved and the choke point on the efficiency is overcome.

通过对基于矩阵的算法进行改进,引入删除压缩技术提高了算法性能,有效地解决了Apriori算法在发现频繁2-项集时的效率瓶颈问题,并从理论上证明了算法的正确性和可行性。

The expression of assembly structure based product structure labeled graph is proposed.The module partition method based on frequent subgraph mining is presented,and Apriori algorithm is applied to build the mapping between frequent subgrahs and product family modules.The structural correlation method of product family is presented,which includes the predefinition of the assembly structure of product family,the definition of the configuration relationships among producy family modules and the definition of the parameter correlations among producy family modules.

以成熟产品设计实例为分析对象,利用产品结构标号图描述其装配结构;提出基于频繁子图挖掘的产品族模块划分方法,建立频繁子图到产品族模块的映射关系;研究了产品族结构关联方法,包括产品族装配结构预定义、产品族配置关系定义和产品族参数关系定义。

At that level we stand to secure an apriori grasp of the primary ampliative move, a move that the material implication at the propositional level merely shadows.

在这个水平上,我们坚持维护对首要的扩展推进进行先天把握,这个推进的实质蕴涵,在命题水平被遮蔽。

On the basis of the sequence, we developed a called GIRST model to achieve finding the frequent relationship patterns in multiple time series.

实验结果显示,该新方法比传统的Apriori算法具有更好的挖掘效率和挖掘效果。

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