可以把SAP分类元数据自动地导入到WSRR中。
SAP classification metadata can be automatically be imported into WSRR.
检测结果被整合后，图像被自动分类为正常图像或是违规图像，这是在最初的数据类型设置时进行了分类。
The results are fused and the image is then classified as normal or offensive, having been trained on the initial dataset.
UDDI的设计允许简单的搜索格式，并允许交易伙伴发布关于自身及其宣传的Web服务的数据以自动提供分类数据。
The design of UDDI allows simple forms of searching and allows trading partners to publish data about themselves and their advertised web services to voluntarily provide categorization data.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
一旦在部分类中像如下这样添加了的话，这些验证方法将会在应用程序中更新数据模型时自动的触发。
Once defined in partial classes like below, these validation methods will automatically be enforced anytime we write code to update our data model objects in an application.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
实验表明，该方法是一种由遥感分类图自动转换成g IS通用数据的高效方案。
Finally, the experiment demonstrates that the method is a highly efficient scheme to automatically convert classified raster map to general format GIS data.
文本分类是数据挖掘领域中重要分支之一，其任务是对未知类别的文本进行自动处理，判断它们所属的预定义类别集合中的类别。
Text classification is an important branch in data mining filed, which is responsible for automatically dealing with those class-unknown texts and judging which pre-defined class sets they reside in.
综合叶片的离心率、似圆率和这两个边界曲率特征来检索叶片数据库，进行形状匹配，实现叶片自动分类。
The system retrieved and classified the leaf by shape matching with the samples in a leaves database by eccentricity, circularity and the curvature features.
这是一位名叫赫尔曼·霍勒·里斯的青年人口普查工作者发明的。该装置通过马尼拉纸板上的穿孔代码能自动分类整理数据。
Invented by a young census worker named Herman Hollerith, it automatically sorted data by a code of holes punched in Manila CARDS.
利用聚类分析方法对给定数据进行分类时，所采用的样品并不知道其所属类型，而根据样品间的“相似”程度来自动地进行分类。
When we utilize this method to classify the given data, though we don't know the type of adopted sample, it will classify the samples automatically according to their similar stage.
基于人工智能技术的自动文本分类是有效利用电子化文本数据的基础。
Automatic text categorization, which is based on artificial intelligence technology, is the base of how to effectively utilize e-form text data.
实现了车辆分类称量、数据采集齐全、报表自动生成、磅单分类打印等基本设计目标。
Realizes the vehicles classification weighing, the data acquisition complete, the report form automatic production, the pound list classification printing and so on the basic design goal.
针对自动视频分类工作中分类预测精度低的问题，提出了一种集成数据挖掘技术的自动视频分类方法。
This paper addresses the problem that automatic videoclassification has lower classification precision. An automatic video classification approach of integrating data mining is proposed.
对此自动拼搭系统进行了方案设计，并对其决策控制环节、现有资源的分类管理模式和方法以及关系数据库和规则集的建立进行了研究。
Design of the system included the design of the decision and control segment, the management mode and method of assorting resources and relation data bank and rule collection building.
讨论了遥感数据监督指非监督和计算机自动分类的问题，并给出了一些初步的分类结果实例。
Supervised and unsupervised approaches for classification of remote sensing data by computer are discussed. Some primary classification results are provided.
将该种模型运用于公开的白血病基因表达数据集进行实验，实验表明该方法能自动获取基因表达数据的聚类数，并得到较高的分类准确率。
We applied the model to analyze the expression data set of leukaemia. The experimental result proved that this model can get cluster Numbers automatically and a high accuracy of classification.
由于GK模糊聚类能够自动地探测不同聚类形状，故其被认为是一类较好的用于分类的数据分析技术。
As a good data analysis tool, the GK fuzzy clustering can automatically detect different cluster shape. However, it has many shortcomings.
因此，网页自动分类是一项具有较大实用价值的方法，也是组织和管理数据的有效手段。
Therefore, Web classification is not a method with great practical value, but also is an effective means of organizing and managing data.
其次，通过对图书馆的样本数据进行训练建立的分类库，本文使用贝叶斯分类器实现中文期刊的自动分类。
Then, giving the sample words from library, a categorization database is created and used for automatic categorization of Chinese journals by Bayesian learning.
最后通过利用ERSSAR数据和TM影像进行融合分析，证明该方法在遥感图像自动分类中有很好的应用前景。
At the end, it is demonstrated that evidential reasoning has extensive applications in the classification of remote sensing images through the fusion analysis of ERS SAR and TM image.
摘要：作战数据库文件与记录的文本格式涉及到作战文书的自动生成，文本分类直接关系到情报信息检索效率及准确性。
Absrtact: Files and records of text format for battle database are important, it relates to automatic generating of operation document, and text classification relates to efficiency and accurate rate.
聚类分析是数据挖掘中重要的研究课题，在信息过滤、资料自动分类、生物信息学等领域得到广泛应用。
Clustering analysis is an important research in data mining, and has been widely used in many fields, such as message filtering, document categorization, bioinformatics, etc.
聚类问题作为一种无监督的学习，能根据数据间的相似程度自动地进行分类。
As an unsupervised learning technique, dustering is a division of data into groups of similar objects.
为了适应本体数据源大量的分类数据，提出了一种新的聚类算法sct，实现数据库元组的自动聚类以及概念层次结构的生成。
A new clustering algorithm named SCT is raised, which makes system be more suitable to the category data in data source of ontology.
本文通过分析遥感分类图栅格像元之间的关系，快速自动地提取矢量数据点及其连接信息，进而利用连接信息快速生成弧段，由弧段自动组建多边形并建立完整的拓扑关系。
In this paper, we analyzed the relations between pixel and pixel in the classified raster map. Based on the relations, all vector points and the connection information between them can be extracted.
本文通过分析遥感分类图栅格像元之间的关系，快速自动地提取矢量数据点及其连接信息，进而利用连接信息快速生成弧段，由弧段自动组建多边形并建立完整的拓扑关系。
In this paper, we analyzed the relations between pixel and pixel in the classified raster map. Based on the relations, all vector points and the connection information between them can be extracted.
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