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   非结构化文本 的翻译结果: 查询用时:0.181秒
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非结构化文本
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  non-configuration text
     These arching full text function of Microsoft SQL,it can search the index resulted from non-configuration text data quickly and agilely.
     MicrosoftSQLServer2000的全文搜索功能,可以对在非结构化文本数据上生成的索引执行快速、灵活的查询。
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  “非结构化文本”译为未确定词的双语例句
     Currently, one of the hot issues is text mining, which is to extract useful information from free texts.
     当前最热门的领域之一是“文本挖掘”,即从巨量的非结构化文本中抽取信息。
短句来源
     People have gradually realized the necessity of combining the unstructured text with the semantic mining methods in order to help people learn more about the implication of text from different aspects and to find the best mining location and gain more cognition.
     人们逐渐意识到要将非结构化文本与语义挖掘结合起来,使人们可以多方面地认识文本的内涵,并且利用科学的认知理论和方法从文本中找到最佳挖掘点,以获得更多的认识。
短句来源
     Using semantic mining theories, methods and the experience in the semi-structured text and spatial database mining, we can get the GIS semantics from the user requirement text. It will help us improve the quality of requirement engineering and it is important in exploring GIS semantic sharing, GIS explanation standard and developer-application sharing . Additionally it gives people some new ideas about GIS mining from unstructured text.
     应用语义挖掘的理论和方法,借鉴海量非结构文本语义挖掘的方法和空间数据库挖掘的成功经验,对需求文本进行GIS语义挖掘,将对提高GIS需求过程质量、深入探讨GIS语义共享、GIS的解释标准、开发应用共享等理论问题具有重要的意义,同时也为非结构化文本的空间挖掘提供新的思路。
短句来源
     Information Extraction refers to extracting specific information from non-structured data and forming structured data pool for people to search and use.
     信息抽取是指从非结构化文本中抽取指定的信息,形成结构化的数据并填入数据库中供用户查询、使用的过程。
短句来源
  相似匹配句对
     The Management of Unstructured Information
     结构化信息管理
短句来源
     A Structured Process of Non-Structured Program
     结构化程序的结构化处理
短句来源
     Hypertext is a kind of unstructured document.
     超文本是一种结构化的文档 .
短句来源
     Structured Application Specific Integrated Circuits
     结构化专用集成电路
     Structured lipid
     结构化脂质
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Text mining depends on finding out the latent concepts and relationships between themselves from the original texts. The mechanism of text feature extraction was studied based on the factor analysis. The text features were extracted by identifying the latent conceptual structures,and they can be used to improve the skew intersection on the vector space models. The mechanism of visualization navigation was exposed based on the conceptual structures in the text which hierarchically display the content of texts...

Text mining depends on finding out the latent concepts and relationships between themselves from the original texts. The mechanism of text feature extraction was studied based on the factor analysis. The text features were extracted by identifying the latent conceptual structures,and they can be used to improve the skew intersection on the vector space models. The mechanism of visualization navigation was exposed based on the conceptual structures in the text which hierarchically display the content of texts according to users′ interests.

文本挖掘是从非结构化的文本中发现潜在的概念以及概念间的相互关系·鉴于中文文本的特点 ,提出了基于因子分析的文本特征抽取机制·通过识别文本中潜在的概念结构来抽取特征项 ,而且有助于改善向量空间模型中各个分量间的斜交现象·同时给出了基于概念的信息导航机制 ,按概念层次和上下文环境展现用户所关心的内容

With the development of knowledge economy and knowledge management enterprises give more and more andmore importance to the management of knowledge. Such knowledge is reports, manual, product specificationsand so on. To enhance the management of enterprises on this unstructured information, this paper discusses the design and development of Document Management System. And we have succeeded to make it a product into the market.

随着知识经济的到来和知识管理的兴起,企业越来越重视对其内部和外部各种形式的 知识的管理。这些知识的一个重要表现形式就是由企业内部或外部产生的各种报告、 产品设计书、产品使用说明书、客户资料及客户反馈意见等等,这些非结构化的文本信 息对企业是非常有价值的。因此,为加强企业对其内部各种文档资料的管理,本文运用 一种新的全文检索方法,设计并开发了一个实用的文档管理系统,并取得了成功。

The booming growth of the Internet provides us a great deal of information resource. Web text mining is an efficient technique, which discovery valuable and potential knowledge from those unstructured texts. In this paper, we use VSM as the description of web text and give a feature subset algorithm which is based on the Genetic Algorithm. This algorithm can greatly improve the efficiency of dealing with web texts and give much better way to classify and cluster the texts. Our experiments show that this method...

The booming growth of the Internet provides us a great deal of information resource. Web text mining is an efficient technique, which discovery valuable and potential knowledge from those unstructured texts. In this paper, we use VSM as the description of web text and give a feature subset algorithm which is based on the Genetic Algorithm. This algorithm can greatly improve the efficiency of dealing with web texts and give much better way to classify and cluster the texts. Our experiments show that this method active well in feature dimension reduction.

Internet的发展为人们提供了大量的信息资源 ,Web文本挖掘是从非结构化的文本中发现潜在的、有价值知识的一种有效技术 .本文以矢量空间模型为 Web文本的表示方法 ,提出了一个基于遗传算法的 Web文本特征抽取算法 ,进一步提高了 Web文本的处理效率 ,为文本的分类、聚类以及其它处理提供了简练的特征表示方法 .实验证明 ,该种处理方法有效地降低了文本特征矢量的维数 .

 
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