The application of radial basic function neural network in the data classification is studied.
对径向基函数神经网络在数据分类中的应用进行了研究。
Each row or column can be assigned a security label that stores information about the classification, or sensitivity, of the data.
每一行或列都可以贴上一个安全标签，标签中存储着关于数据的类别或敏感性的信息。
Classification, as we saw from the example in the previous article, USES every data instance to create a tree, which we would traverse to find our answer.
分类，如我们在前一篇文章的例子中看到的，使用每个数据实例来创建树，我们需要遍历此树才能找到答案。
Describe the major classification of data associated with a data element.
描述与一个数据元素相关联的数据的主要类别。
Brokers usually extend the value proposition of a registry by offering intelligent search capability and business classification or taxonomy data.
中介者经常通过提供智能搜索能力和商业分级或分类数据来扩展注册处的价值取向。
The RSS feed as a whole also includes classification and further detail and classification data.
完整的RSS提要也包含分类以及进一步的细节和分类数据。
Content classification is any process that enriches data to organize it in a manner that makes the data easier to search, archive, manage, and integrate into other processes.
内容分类是任何一种这样的进程，即增强数据，以便采用让数据更容易搜索、归档、管理和集成到其他进程中的方式组织数据。
The data set we'll use for our classification example will focus on our fictional BMW dealership.
我们用于分类示例的数据集所围绕的仍然是我们虚构的BMW经销店。
One defining benefit of clustering over classification is that every attribute in the data set will be used to analyze the data.
与分类相比，群集的一个好处是数据集内的每个属性都被用来分析该数据。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
The second was classification (also known as classification tree or decision tree), which can be used to create an actual branching tree to predict the output value of an unknown data point.
第二种技术是分类（即分类树或决策树），用来创建一个实际的分支树来预测某个未知数据点的输出值。
By creating a classification tree (a decision tree), the data can be mined to determine the likelihood of this person to buy a new M5.
创建一个分类树(一个决策树)，并借此挖掘数据就可以确定这个人购买一辆新的M5的可能性有多大。
This article discussed two data mining algorithms: the classification tree and clustering.
本文讨论了两种数据挖掘算法：分类树和群集。
Why are we using the same data set we used in the classification example?
我们为何要使用与分类例子中相同的数据集呢？
The new data has no classification (in this case, no checks on heart disease have been made) and the scoring process assigns a prediction to each new record according to the mining model.
新的数据没有分类别（这里是指还没有做过心脏病检查），评价过程根据挖掘模型将一个预测赋给每个新的记录。
I wanted to take you through the steps to producing a classification tree model with data that seems to be ideal for a classification model.
我本想带您亲历用适合于分类模型的数据生成一个分类树的全过程。
The Classification Workbench tool allows easy creation, analysis, and tuning of a knowledge base from representative data.
可以使用Classification Workbench工具根据代表性数据轻松地创建、分析和调优知识库数据。
Prior to using Classification Workbench, you'll collect pre-categorized sample data (for example, documents) representative of the data you expect to classify using ICM.
在使用ClassificationWorkbench之前，要收集预先分类的样本数据(例如文档)，这些数据应该反映将用ICM进行分类的数据的典型情况。
Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.
同样，对于机器学习算法，一个通常的问题是过适合(原文为over -fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。
This name must be used again in the Classification Workbench, where you have to choose a field that contains the document text of your training data.
在ClassificationWorkbench中选择包含训练数据文档文本的字段的地方，必须同样使用这个名称。
The data set we'll use for our Nearest Neighbor example should look familiar - it's the same data set we used for our classification example in the previous article.
我们将要为我们的最近邻示例使用的数据集应该看起来非常熟悉—这个数据集就与我们在上一篇文章的分类示例中所用的相同。
When you define a classification system, take in account all stakeholders' opinions and try to have a consistent approach to categorizing data, even through the many challenges.
您定义分类系统时，考虑所有涉众的观点，试图找到一致的方法来组织数据，但是困难重重。
That's seemingly the big advantage of a classification tree - it doesn't require a lot of information about the data to create a tree that could be very accurate and very informative.
这看上去像是分类树的一大优势—它无需有关数据的大量信息就能创建一个十分准确且信息丰富的树。
If the nature of the data changes over time, the KB accuracy can be verified periodically, using Classification Workbench reporting tools.
如果数据的性质会随时间变化，那么可以定期使用ClassificationWorkbench报告工具检查知识库的精确性。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
To make all of Europe's architectural data easier to access, a community of users created the winning classification tree above, titled Metadata for architectural Content in Europe.
为了使欧洲的所有建筑学数据更便于检索，几位用户创建了一个名为“欧洲建筑学目录元数据(MetadataforArchitecturalContentin Europe)”的分类树，这幅作品成功入围十佳。
The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.
还利用三种飞机缩比模型的暗室测量数据，研究了时延神经网络分类器中时延单元数目对分类精度的影响以及分类器的分类性能。
Methods: report a psychomotor epilepsy typical case and correlated data introduce the standard of the diagnoses and the classification.
方法：报道一例精神运动性癫痫典型病例及相关资料，介绍诊断及分类标准。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
Specific functions: to track the whole project, including the pre-customer orientation, product descriptions, classification of customer data.
具体职能：全程项目跟踪，包括前期客户情况介绍，产品说明，分类整理客户资料。
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