数据集中

“一个终极的人脸识别算法应该可以识别数据集中数以十亿计的人，”研究人员写道。

" An ultimate face recognition algorithm should perform with billions of people in a dataset , " the researchers wrote .

甚至，可以定义数据集中的这些规则的最低support以及规则的长度。

Further , you can define the minimum support of the rules in the dataset and the length of the rule .

XML数据集中挖掘关联规划算法的比较

A Comparison Between Mining Association Rule Algorithms in XML Data Sets

将合并两个数据集中名称相同的维度（dimension）。

Dimensions with the same name in both cubes will be merged .

使用用户切片模型UserProfile表征无线局域网用户，并从数据集中抽取用户切片。

We apply user profile model to represent user in WLAN and extract each user profile from data set .

该算法首先从原始数据集中随机采样，得到k×N个元素的采样集合，再从该采样集合中查找从大到小的第N个元素；

The algorithm first constructs a sampling set of ( k × N ) elements by randomly sampling the original dataset .

然而，在当前的Internet环境下，依赖传统网络共享技术很难实现如此大规模的数据集中与分析。

However , in the current Internet environment , convergence and analysis of so large quantities data is almost infeasible relying on traditional network sharing techniques .

IBM大型机作为一种大型商用服务器系统，是目前企业级数据集中处理的主要平台。

IBM Mainframe is one of the biggest commercial server systems which are used for data concentration processing of enterprise since the introduction in 1964 .

设计器同时也产生一个填充查询，它封装了查询相关表的Select语句并且在类型化数据集中以同名方法实现。

The designer also generates a Fill query , which wraps the table 's SELECT statement and is implemented as a method of the same name on the typed DataSet .

实践表明，该算法在频繁变化的数据集中的挖掘效率大大高于传统的非增量挖掘算法，基于智能Agent技术的商务信息挖掘模型有效地提高了电子商务的实时跟踪与分析能力。

Experiments show that the algorithm is efficient for data set changed frequently . Based on agent technology , ability of tracking and analyzing commerce information in real time is promoted effectively .

随着PACS系统的普及，医学影像的数据集中存储和共享已成为现实问题。

With the spread of PACS , it has been a challenge to integrate the storage and share of medical image .

还记得么：在Preprocess选项卡，可以从数据集中删除列。

Remember : On the Preprocess tab , you can remove columns from the data set .

Skyline计算就是从一个数据集中找到不被其他数据点支配的所有点的集合。

Skyline operation filters out a set of points that are not dominated by any other point in the database .

在服务应用部分，使用了WEBService技术，增强了特定功能的可重用性，在数据集中方面，通过关系数据库与XML文档的映射，生成XML数据，以达到数据重用的要求。

The service function is used the technology of Web Service to enforce the reuse of special functions . The function of data integration is implemented by mapping technology in order to generate XML document for the reuse of data .

提出了一种基于k最近邻的快速文本分类方法，它能够保证在海量数据集中进行快速有效的分类。

In this paper a fast text categorization approach based on k - NN , which can classify textual documents quickly and efficiently on condition of searching in the very large training set is presented .

假设您是一名制图师或地理信息系统（GIS）专业人士，或是一名资深的爱好者，想要将不同来源的数据集中在一起。

Suppose you 're a cartographer or geographic information system ( GIS ) professional , working on behalf of one , or an advanced hobbyist and want to bring in multiple datasets from a variety of sources .

对于数据集中的异常样本值，本文提出了一种解决方案：先删除异常的属性值，然后再用遗传BP神经网络模型进行预测填补，通过实验证明这种方案的可行性。

In this paper , we propose a scheme to solve the problem of outlier data patterns that the value of outlier data pattern is deleted first and then is predicted by the model of Genetic Algorithm and Neural Network .

并提出了训练局部分类器能够提高分类器泛化能力的原因在于其能够提高分类器的VC维和能够利用训练数据集中更多信息。

This dissertation proposes that the reason why local classifier training algorithms can improve generalization ability of classifiers is that they can improve VC dimensions of classifiers and they can utilize more information of training data set .

并列举了一个相量测量装置（PMU）数据集中处理单元的实例，通过该示例验证了平台的高效、可靠与灵活性。

Finally , as an example , the efficiency , reliability and flexibility of the platform are validated by the data centralized processing unit of PMU .

Skyline查询是基于位置服务的一项重要操作，其目的是发现数据集中不被其它点支配的点的集合。

Skyline query is an important operator of LBS , which aims to find a subset of interesting points that are not dominated by any other points .

您将对它进行设置，以便无论何时调用此RSS提要，它都能查找您的数据集中新增的内容，并为请求者返回新的RSS。

You will set it up so that it looks for the most recent additions to your dataset whenever the RSS feed is called upon and returns a fresh RSS to the requester .

在数据集中定义另一种维度是很有必要的，便于Timescale能够使用BiF。

It will be necessary to define one of the other dimensions in the cube as a Timescale to be able to use the BiF .

作为一种较新颖的基因聚类算法，粒子对算法（PPO）在一些基因表达数据集中获得了较好的聚类效果，但也存在着一些有待解决的问题。

As one kind of novel gene clustering algorithm , Particle-Pair Optimization ( PPO ) has obtained better clustering effect in some gene expression data sets , but it also has some questions to be solved .

系统由分布在网络各节点的监测代理（MA）收集信息，在统计服务器（SS）上进行数据集中和归并，最终由管理服务器（MS）进行分析，向管理员发出报警信息。

The system can collect information by Monitor Agents ( MA ) on network nodes , carry on the combination of data by Statistical Server ( SS ), finally accomplish the analysis by Manage Server ( MS ) and send out alert messages to administrators .

为适应CCBS数据集中需要，特开发此安全系统为黑龙江建行特色业务使用。

In order to meet the needs of CCBS data concentrating , security system for characteristic business of China Construction Bank in Heilongjiang is developed .

基于最小生成树思想改进后的KK-MEANS聚类方法研究及其在地震数据集中的应用

KK-means Clustering Method Improved Based-on Minimum Cost Spanning Tree and Its Applications in Seismic Data

在这篇论文中，提出了一个基于迭代行为模式的方法（IbpPGM）去把day-by-day数据集中的具有特异性的对象聚集到一起。

In this paper , we propose an iterative behavioral pattern-based peculiarity groups mining ( IbpPGM ) method to group the objects in day-by-day behavioral datasets .

但是随着数据集中带类别信息样本的数量减少，LDA和MFA的性能将会降低，同时传统的欧式距离难以描述样本间的相似性。

However , with the decrease of the number of labeled samples in the dataset , the performance of LDA and MFA will be lowered , and moreover the traditional Euclidean distance is incapable to character the intrinsic similarities among samples .

最后，实现了该可视化平台下相量测量单元（PMU）的数据集中处理单元的相关功能，并通过该实例在实际装置上的运行效果，验证了平台的高效、可靠与灵活性。

Finally , as an example , the correlative functions of the data centralized disposal unit of PMU are implemented using the visual platform , and via running in the real equipment validated the efficiency , reliability and flexibility of the platform .

如果决定在原生z/OS数据集中存储代码，那么可能需要给它分配RECFM=VB，LRECL=256这样的DCB设置（尤其是，如果要把代码迁移到另一个UNIX平台）。

If you choose to store your code in a native z / OS dataset , you 'll probably want to allocate it with DCB settings similar to RECFM = VB , LRECL = 256 ( particularly if porting it from another UNIX ) .