本文關(guān)鍵詞：基于神經(jīng)網(wǎng)絡(luò)的用戶建模和Web信息過(guò)濾研究，由筆耕文化傳播整理發(fā)布。

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    Automatic Web Information Extraction Based on Maximal and Frenquent Equivalence Classes

    基于最大頻繁等價(jià)類的Web信息自動(dòng)抽取

短句來(lái)源

    The Research on Neural_Networks_based User Modeling and Web Information Filtering

    基于神經(jīng)網(wǎng)絡(luò)的用戶建模和Web信息過(guò)濾研究

短句來(lái)源

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

    借鑒ANFIS網(wǎng)絡(luò)，提出了一種將神經(jīng)模糊網(wǎng)絡(luò)技術(shù)應(yīng)用到用戶建模中，建立個(gè)性化自適應(yīng)用戶模型，并應(yīng)用于Web信息過(guò)濾的方法。

短句來(lái)源

    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.

    在原型系統(tǒng)中，采用SQL Server 7.0為DBMS，以IIS為WEB信息服務(wù)，開(kāi)發(fā)出三層架構(gòu)系統(tǒng)，利用IDL語(yǔ)言到Java和C++的不同映射，客戶端程序采用JBuilder為開(kāi)發(fā)工具，服務(wù)器程序采用C++Builder開(kāi)發(fā)，實(shí)現(xiàn)基于Internet的遠(yuǎn)程機(jī)電控制系統(tǒng)。

短句來(lái)源

    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.

    現(xiàn)在，集成學(xué)習(xí)已經(jīng)成功應(yīng)用于行星探測(cè)、地震波分析、Web信息過(guò)濾、生物特征識(shí)別、計(jì)算機(jī)輔助醫(yī)療診斷等眾多領(lǐng)域。

短句來(lái)源

更多       

    Analysis and Design of Distributed Web Crawler

    分布式Web信息采集系統(tǒng)的研究與設(shè)計(jì)

短句來(lái)源

    Design and Realization of Focused Web Crawler

    基于主題的Web信息采集系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)

短句來(lái)源

    Design and Realization of a General Web Crawler

    一種通用Web信息采集系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)

短句來(lái)源

    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.

    為了解決以上困難,使Web信息更為有序,讓計(jì)算機(jī)與人更好地協(xié)同工作,Tim Berners-Lee于2000年提出了語(yǔ)義Web的構(gòu)想,它是對(duì)當(dāng)前Web的擴(kuò)展。

短句來(lái)源

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

    基于主題的Web信息采集是信息檢索領(lǐng)域內(nèi)一個(gè)新興且有實(shí)用價(jià)值的方向，也是信息處理技術(shù)中的一個(gè)研究熱點(diǎn)。

短句來(lái)源

查詢“web信息”譯詞為用戶自定義的雙語(yǔ)例句
    我想查看譯文中含有：的雙語(yǔ)例句

為了更好的幫助您理解掌握查詢?cè)~或其譯詞在地道英語(yǔ)中的實(shí)際用法，，我們?yōu)槟鷾?zhǔn)備了出自英文原文的大量英語(yǔ)例句，供您參考。

  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

更多          

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.

闡述了一種基于XML的數(shù)據(jù)抽取技術(shù) ,并示例如何將該技術(shù)應(yīng)用于Web信息的挖掘 ,通過(guò)對(duì)實(shí)例的剖析 ,提出了有關(guān)技術(shù)人員如何通過(guò)該數(shù)據(jù)挖掘技術(shù)擁有一個(gè)維護(hù)成本低廉而且可靠的數(shù)據(jù)抽取系統(tǒng) ,從而快速便捷地獲取所需的信息

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信息的急速膨脹,使得Web信息采集面臨一個(gè)巨大的挑戰(zhàn)。針對(duì)這一情況,實(shí)現(xiàn)了一個(gè)分布式Web信息采集系統(tǒng),以提高一般Web信息采集的能力。文章論述了分布式信息采集的基本原理、分類、難點(diǎn)以及相應(yīng)的對(duì)策,并就該分布式Web信息采集系統(tǒng)進(jìn)行了仔細(xì)的剖析。最后,對(duì)分布式Web信息采集的發(fā)展作了一個(gè)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.

提出了一個(gè)基于部分計(jì)值技術(shù)的信息個(gè)人化系統(tǒng)PIPEAgent。部分計(jì)值理論源于程序轉(zhuǎn)換中如何在給定部分輸入的情況下，對(duì)程序完成盡可能多的運(yùn)算從而對(duì)程序進(jìn)行優(yōu)化這一問(wèn)題的探討，PIPEAgent將部分計(jì)值理論與信息個(gè)人化相結(jié)合，以PIPE(Personalization is Partial Evaluation)理論為基礎(chǔ)，結(jié)合機(jī)器學(xué)習(xí)技術(shù)并采用智能人機(jī)交互的Agent構(gòu)架。該系統(tǒng)已應(yīng)用于Web信息檢索、電子商務(wù)應(yīng)用。

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  本文關(guān)鍵詞：基于神經(jīng)網(wǎng)絡(luò)的用戶建模和Web信息過(guò)濾研究，由筆耕文化傳播整理發(fā)布。