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。
Experimental results show that this method can reduce the dimension of the classification data, and improve the classification accuracy.
实验结果表明，该方法能降低分类数据的维数，提高分类的准确率。
The analysis of commodity classification data file is based on other module data, and generated a valued file according to some format and require.
商品分类数据文件是根据其他模块生成的数据文件信息，按照指定的格式和要求生成一份具有分析价值的新的数据文件。
This article puts forward the problems existed in OPAC classification data, analyzes the reasons of these problems, and gives the Suggestions to improve it.
本文指出了OPAC分类数据中存在的问题，并对存在问题的原因进行了剖析，提出了改进建议。
Next, this method and the interpolation method are compared, and the combination of administrative, DEM and land use classification data on drought were analyzed too.
接下来对该方法和插值方法进行了比较，并且结合行政区、DEM及土地利用分类数据对旱情进行了统计分析。
In this system, my task is to realize the module of analysis commodity classification data and the module of analysis sub-shop. They both play important roles in the system.
在整个系统中我主要负责用于分析的商品分类数据生成和用于分析的分店铺交易状况统计两个模块，它们在系统中起着重要的作用。
The article delicately analyzes many examples of the wrong classification data of CIP emerging currently in China, and brings up lots of measures that control the classification data mistakes of CIP.
文章对我国目前出现的错误的CIP分类数据实例进行了详细的辨别分析，并提出了控制CIP分类数据错误的措施。
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。
You'll see that it is like a combination of classification and clustering, and provides another useful weapon for our mission to destroy data misinformation.
您将看到它更像是分类与群集的组合，并为我们消灭数据误导的使命提供了另一种有用的武器。
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。
We learned that in order to create a good classification tree model, we need to have an existing data set with known output from which we can build our model.
我们了解了为了创建一个好的分类树模型，我们必须要有一个输出已知的现有数据集，从这个数据集才能构建我们的模型。
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。
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。
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。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
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。
More than any other philosopher before him, Aristotle made much of observation and strict classification of data in his studies.
亚里斯多德比在他之前的其他哲学家都更近一步，他在他的研究中做了许多的观察和严格的资料分类。
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。
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。
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。
This model can be used for any unknown data instance, and you are able to predict whether this unknown data instance will learn classification trees by asking them only two simple questions.
这个模型可用于任何未知的数据实例，来预测这个未知数据实例是否通过只询问两个简单问题就能理解分类树。
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。
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。
Future articles will touch upon other methods of mining data, including clustering, Nearest Neighbor, and classification trees.
本系列后续的文章将会涉及挖掘数据的其他方法，包括群集、最近的邻居以及分类树。
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。
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 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。
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。
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。
应用推荐