有各种构建文档分类法的方式。
There are various approaches to building document taxonomies.
对层次化中文文档分类进行了研究。
Hierarchical Chinese document categorization was researched.
自动文档分类是信息处理技术的一个重要部分。
Document automatic classifying is an important application of the information processing technology.
清单1说明了一个简单的文档分类程序可能是什么样子。
Listing 1 shows what a simple document classifier might look like.
统一的文档分类与编码体系是计算机辅助工程建设的基础。
Unified documents classification and coding system is the basis of computer aided construction.
此外，目前我们可以实施严谨的S88以及批次处理的文档分类。
In addition, now we can do a rigorous S88 implementation and documentation of the batch process.
运用属性约简算法生成分类规则，最后利用多知识库进行文档分类。
Generating classification rule by attribution reduces algorithm. Finally, the documents are classified with multiple knowledge bases.
有关与SalesTeam模板关联的文档分类的例子，请参见图3。
See Figure 3 for an example of the document taxonomy associated with the Sales Team template.
如果要对文档分类，属性尤其有用，比如按照菜谱的type进行分类。
Attributes are especially helpful if documents will be sorted-for example, by type of recipe.
注意，分类法的修改会使OmniFind以前所做的任何文档分类失效。
Note that taxonomy changes may invalidate any categorization of documents processed by OmniFind previously.
随着电子出版物和互联网文档的飞速增加，自动文档分类工作正变得日渐重要。
With the rapid expansion of electronic publication, it becomes more and more important to classify document automatically.
采用高津托图作为虚拟文件夹的数据存储结构，以树型结构作为文档分类的形式。
It adopts the Gozintograph as the data storage structure of virtual folder, and the tree structure as the sort form of document.
例如，在文档分类程序中，显然需要向用户显示“下一个文件”，然后对这个文件进行适当的分类。
For instance, in a document-classification program, the obvious thing to do is to display "the next file" to the user, then file it appropriately.
在这些概念的基础上描述了文档分类元模型，并且构造了一个文档分类管理系统结构模型。
The document classification meta-model was described based on these concepts, and an architecture model of document classification management system was constructed.
在图3中，SalesTeamSpace的Documents选项卡中已经创建了默认文档分类。
In Figure 3, a default document taxonomy has been created on the Documents TAB of the Sales Team Space.
特征选择是文档分类中常见的预处理工作，通过对文档特征空间降维，可以提高文档的分类性能。
Feature selection is frequently used as a preprocessing step to text classification, which is effective in reducing dimensionality and increasing classification accuracy.
真实世界的文档往往同时属于多个类别，因此，利用多标记学习技术进行文档分类是一个重要的研究方向。
Real-world text documents usually belong to multiple classes simultaneously, and therefore, using multi-label learning technique to classify text documents is an important research direction.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
基于贝叶斯模型的文档分类具有简单、直观、性能稳定的优点，但面对复杂的文档分类问题，仍然存在许多急待解决的问题。
Although text classification with Bayesian classifier is simpler, intuitionistic and stable in performance, they still face with some significant problems in some complex text classification tasks.
该模型从用户证书、时间约束、XML文档分类等方面对传统的RBAC模型进行了扩展，以实现基于内容的时间上下文敏感的多粒度访问控制。
This model extends the traditional RBAC model with user credentials, temporal constraints and XML document classification to enforce a content-based time-aware multi-granularity access control.
XML文档筛选或者分类是一个常见的问题，特别是在XML中间件中。
The screening or classification of XML documents is a common problem, especially in XML middleware.
为开始分类您自己的文档，本文介绍了很多技术。
This article covers a number of techniques for beginning to classify your own documents.
然后可以用额外的元数据(如属性和分类)对文档和逻辑部分进行注释。
The document and the logical parts can then be annotated with additional metadata, such as properties and classification.
元数据概要由HTML4引入，其目的是为了让作者向客户端提供一种或多种文档查看或分类的方法。
Metadata profiles were introduced in HTML 4 to allow an author to provide clients with one or more ways of categorizing or viewing a document.
仔细研究此输出，您可以查找文档并分析它分类错误的原因。
Digging into this output, you can look up document and examine it for clues as to why it might have been incorrectly classified.
在获得每个文档的属性值之后，对其进行分类就不难了。
It is not hard to categorize the documents after you retrieve the property value of each document.
下一步，我们需要通过创建(或修改)工作负载分类文档来定义分类规则。
Next we're required to define classification rules, by creating (or amending) a Workload classification document.
subjects表将被创建，以帮助对文档进行分类。
The SUBJECTS table will be created to help categories our documents.
设置 wlm_classification_file环境变量以引用工作负载分类文档。
Set the wlm_classification_file environment variable to reference the workload classification document.
设置 wlm_classification_file环境变量以引用工作负载分类文档。
Set the wlm_classification_file environment variable to reference the workload classification document.
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