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   非结构化数据 在 自动化技术 分类中 的翻译结果: 查询用时:0.035秒
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非结构化数据
相关语句
  unstructured data
    IDSSIM can improve the IDSS's ability of mining and processing semi-structured and unstructured data, so as to the decision support system can adapt to the multiplicity and dynamicity of current information source, can provide more abundant decision support information.
    旨在解决决策支持系统对半结构化数据、非结构化数据的挖掘处理能力,使之适应目前信息源的多样型和动态变化性的特点,提供更加丰富的决策信息。
短句来源
    The conclusion is that the data mining of power project management should be supported by a certain data system and what how to coordinate the unstructured data information would be the key.
    结论是,电力工程管理数据挖掘必须有一定的数据体系支持,对非结构化数据信息的整理是关键。
短句来源
    In the environment of Web application,it′s very important to manage mass unstructured data(content data).
    在Web应用环境下,如何有效管理大量的非结构化数据(也称内容数据)成为应用的重点。
短句来源
    Through research of the known unstructured data management model,a new content repository model is promoted and demonstrated.
    通过对已有非结构化数据管理模型的研究,提出和论证了新的内容知识库模型及其表达能力。
短句来源
  non-structured data
    Data Fusion of the non-structured data and structured data plays an important role in the construction of Digital Mine.
    非结构化数据与结构化数据的融合是数字矿山建设的重要组成部分。
短句来源
    Data fusion is confronted with heavy difficulty because of the characteristics of the non-structured data.
    由于非结构化数据本身的数据特点,使得它与结构化数据的融合面临极大的困难。
短句来源
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  unstructured data
Measurements: Transcripts were analyzed using Nonnumerical Unstructured Data Indexing Searching and Theorizing (NUD*IST).
      
This offers new perspectives for scientific interpretation of collections of unstructured data.
      
Next to this, it is extended to handle unstructured data.
      
This paper introduces coupled clustering-a novel computational framework for detecting corresponding themes in unstructured data.
      
Data mining is concerned with analysing large volumes of (often unstructured) data to automatically discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes.
      
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  non-structured data
While retrieving the structured data was not difficult, gathering the non-structured data required excessively long time.
      


The information mining technology, which includes the structured data and complex structured data mining, is introduced in this paper. Kernelled with the information mining, adopted the architecture which combined the seven bases (model base, integrated knowledge base, database, method base, text base, Web log base and multimedia base) and the double networks (Internet and Intranet), the new "intelligence decision support system based on the information mining (IDSSIM)" is presented. IDSSIM can improve the IDSS's...

The information mining technology, which includes the structured data and complex structured data mining, is introduced in this paper. Kernelled with the information mining, adopted the architecture which combined the seven bases (model base, integrated knowledge base, database, method base, text base, Web log base and multimedia base) and the double networks (Internet and Intranet), the new "intelligence decision support system based on the information mining (IDSSIM)" is presented. IDSSIM can improve the IDSS's ability of mining and processing semi-structured and unstructured data, so as to the decision support system can adapt to the multiplicity and dynamicity of current information source, can provide more abundant decision support information.

阐述了以结构化数据和复杂类型数据挖掘为主要内容的信息挖掘技术。采用7库(模型库、综合知识库、数据库、方法库、文本库、日志库、多媒体库)与双网(Internet、Intranet)相结合的体系结构,以信息挖掘技术为核心,提出源于信息挖掘的新型智能化决策支持系统(IDSSIM)。旨在解决决策支持系统对半结构化数据、非结构化数据的挖掘处理能力,使之适应目前信息源的多样型和动态变化性的特点,提供更加丰富的决策信息。

In the process industry, the structure of data is complex and the links between different data are multiple. So it is very difficult to standardize these data. In the past, many methods have been used to solve this problem, such as using the STEP that is used in the manufacture industry. But since the STEP is fit for structure data, this method has much difficulty in expressing the non-structure data. This paper uses the XML to express the non-structure data and the half-structure data of the process industry....

In the process industry, the structure of data is complex and the links between different data are multiple. So it is very difficult to standardize these data. In the past, many methods have been used to solve this problem, such as using the STEP that is used in the manufacture industry. But since the STEP is fit for structure data, this method has much difficulty in expressing the non-structure data. This paper uses the XML to express the non-structure data and the half-structure data of the process industry. Using the XML integrating the STEP can solve the problems happening in the integration of process industry data. The other process of information processing can use the information based on XML and STEP. In the end, this paper gives an example of using XML and STEP to express a synthesis process in the information integration of process industry.

流程工业中数据结构复杂,数据之间关系多种多样,如何对这些数据实现标准化处理是一件很困难的事。以前人们采用的方法多为各种零散的方法,或者是借助于制造行业发展起来的STEP来实现,但是STEP主要是用在表述结构化数据的,而对于非结构化数据以及半结构化数据的描述存在很大困难。因此,文中提出用XML来表述流程工业的非结构化数据和半结构化数据,采用XML与STEP标准结合的方式,实现对流程工业数据的集中处理,以便让那些建立在其上的其他信息处理过程中应用。文末给出了XML与STEP相结合所描述的一个典型过程工业信息集成应用案例。

Combined with XML technique a remote diagnose system of biology is proposed. The system adopts multiple B/S structure, transfers data between function block in the form of XML document. The system organizes XML document for structural data by the need of biology, for nonstructural data, first transform it into VRML, then transform the VRML script into XML document, finally in- put or output it. The system achieves conformity of isomerous data through using DOM modifying the XML document.

结合XML技术提出一个生物学远程诊断系统。整个系统采用多层B/S结构,在主要功能模块间使用XML文档传递数据信息,对于结构化数据根据生物学需要组织XML文档结构,对非结构化数据则将其转化为VRML,再将VRML转化成XML文档进行存取。通过DOM对XML文档结构的修改实现异构数据的整合。

 
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