web信息 在 自动化技术 分类中 的翻译结果

  本文关键词：基于神经网络的用户建模和Web信息过滤研究，由笔耕文化传播整理发布。

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    Automatic Web Information Extraction Based on Maximal and Frenquent Equivalence Classes

    基于最大频繁等价类的Web信息自动抽取

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    The Research on Neural_Networks_based User Modeling and Web Information Filtering

    基于神经网络的用户建模和Web信息过滤研究

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    According to ANFIS, an improved Nerual Fuzzy networks is introduced into user modeling and web information filtering to satisfy the user.

    借鉴ANFIS网络，提出了一种将神经模糊网络技术应用到用户建模中，建立个性化自适应用户模型，并应用于Web信息过滤的方法。

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    The system development procedures are also designed. In developing the system, C++ Builder and JBuilder are used as the development tools of client and server. Microsoft SQL Server7. 0 as the database management system and IIS as web information service.

    在原型系统中，采用SQL Server 7.0为DBMS，以IIS为WEB信息服务，开发出三层架构系统，利用IDL语言到Java和C++的不同映射，客户端程序采用JBuilder为开发工具，服务器程序采用C++Builder开发，实现基于Internet的远程机电控制系统。

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    Now ensemble learning has successfully applied in many fields, such as planet exploration, seismic wave analysis, Web information filtering, biology feature recognition, and computer aided medical diagnoses.

    现在，集成学习已经成功应用于行星探测、地震波分析、Web信息过滤、生物特征识别、计算机辅助医疗诊断等众多领域。

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    Analysis and Design of Distributed Web Crawler

    分布式Web信息采集系统的研究与设计

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    Design and Realization of Focused Web Crawler

    基于主题的Web信息采集系统的设计与实现

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    Design and Realization of a General Web Crawler

    一种通用Web信息采集系统的设计与实现

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    To solve the above difficulties, Tim Berners-Lee proposed the concept of Semantic Web in 2000. It is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation.

    为了解决以上困难,使Web信息更为有序,让计算机与人更好地协同工作,Tim Berners-Lee于2000年提出了语义Web的构想,它是对当前Web的扩展。

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    Focused Web crawler is a new and practical direction in the field of information retrieval.

    基于主题的Web信息采集是信息检索领域内一个新兴且有实用价值的方向，也是信息处理技术中的一个研究热点。

短句来源

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  web information

The Web information retrieval is a highly popular, but also a challenging research area, which considerably differs from the classical information retrieval theory.

The main attention is paid to specific issues of Web information retrieval rather than to a detailed description of Web search engine implementation.

In addition, the distribution characteristics of web information are also analyzed, which demonstrates that the link popularity and replica popularity of a URL have positive influence on its importance.

On the other hand, semantic web information extraction is a language-dependent problem, which requires particular natural language processing techniques.

Orientl: A strategy of Web information integration

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The article introduces a kind of data mining technique based on XML, presents the procedure of DM. In addition, this article provides an example for those familiar with Web technology how the useful data can be acquired in web by this DM technique. At the end it points out the trend of technology that data mining merges with XML.

阐述了一种基于XML的数据抽取技术 ,并示例如何将该技术应用于Web信息的挖掘 ,通过对实例的剖析 ,提出了有关技术人员如何通过该数据挖掘技术拥有一个维护成本低廉而且可靠的数据抽取系统 ,从而快速便捷地获取所需的信息

Great enhancement on the web information brings to web crawler a big challenge.Facing this situation,this paper designs a distributed web crawler in order to improve capability of web crawler.This paper argues the principles,difficulties and measures of the distributed web crawler,and detailedly analyzes the SkyCollect distributed web crawler.Finally,it views the new direction of distributed web crawler.

Web信息的急速膨胀,使得Web信息采集面临一个巨大的挑战。针对这一情况,实现了一个分布式Web信息采集系统,以提高一般Web信息采集的能力。文章论述了分布式信息采集的基本原理、分类、难点以及相应的对策,并就该分布式Web信息采集系统进行了仔细的剖析。最后,对分布式Web信息采集的发展作了一个展望。

This paper describes the architecture of PIPEAgent which is an intelligent information personalization system based on partial evaluation. The theory of partial evaluation originated from the discussion about how to finish the program computation under some known inputs as much as possible. Since the redundant part of the program is removed during the optimization, the efficiency of it will be improved. Based on partial evaluation technology, PIPEAgent optimizes the Web organization and makes its information...

This paper describes the architecture of PIPEAgent which is an intelligent information personalization system based on partial evaluation. The theory of partial evaluation originated from the discussion about how to finish the program computation under some known inputs as much as possible. Since the redundant part of the program is removed during the optimization, the efficiency of it will be improved. Based on partial evaluation technology, PIPEAgent optimizes the Web organization and makes its information personalized to various users.

提出了一个基于部分计值技术的信息个人化系统PIPEAgent。部分计值理论源于程序转换中如何在给定部分输入的情况下，对程序完成尽可能多的运算从而对程序进行优化这一问题的探讨，PIPEAgent将部分计值理论与信息个人化相结合，以PIPE(Personalization is Partial Evaluation)理论为基础，结合机器学习技术并采用智能人机交互的Agent构架。该系统已应用于Web信息检索、电子商务应用。

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  本文关键词：基于神经网络的用户建模和Web信息过滤研究，由笔耕文化传播整理发布。