web mining 中文意思是什麼

web mining 解釋
網路挖掘
  • web : n 1 蜘蛛網；蛛網狀東西，網狀組織；【紡織；印染】棉[毛]網；〈the W 〉【計算機】萬維網（＝ World Wi...
  • mining : n 1 采礦，采礦業，礦業。2 敷設地雷[水雷]。adj 開礦的，采礦的。 a mining engineer 采礦工程師。 min...
  1. Web mining is a process that extracting some interesting and latent useful pattern and recondite information from web archives and web activitys

    Web挖掘就是從web文檔和web活動中抽取感興趣的潛在的有用模式和隱藏信息的過程。
  2. It become practical significance and a vastitude foreground to abstract useful knowledge, construct adaptive web site, improve efficiency of www with web mining intellectively and automatically based on the latest researched results, this paper discuss the content, characteristics and processes of web usage mining

    因此，採用web挖掘智能地、自動地提取出有價值的知識，構建自適應網站，提高www的效率，具有十分重要的現實意義和廣闊的應用前景。基於國內外最新研究成果，論述了web使用挖掘的內容、特點和挖掘過程。
  3. System for information categorization based on web mining

    挖掘的信息自動分類系統
  4. This thesis includes four parts in which the technologies of web usage mininig are systematically researched. in the first part we summarize the techniques of data mining and web usage mining, present the significance of the research on web usage mininig, the status of research and the problem which web usage mininig will face with. in the second part we discuss the web usage mininig according to the process of web mining. in the stage of data preparing and preprocessing we discuss the algorithm of data cleaning, user and session identification in detail, and present a data model of association rules and sequential patterns in the stage of pattern discovery, discuss the useful method of pattern analysis in last stage. a synthesis clustering algorithm cppc is proposed in the third part of this thesis

    本文分主要從以下四個方面對web使用挖掘進行了系統的分析和研究。第一是對數據挖掘和web挖掘進行了概述，闡述了web挖掘的意義、研究的現狀、面臨的問題。第二是討論了web使用挖掘的三個階段：在數據準備和預處理階段重點討論了數據清洗及用戶和會話識別演算法；在模式發現階段定義了關聯規則和序列模式的數據模型；模式分析階段則討論了現行的幾種分析方法。
  5. Although some of these tables are only for physical layout, there is still a significant amount of online data that is stored in html tables. since tables are inherently concise as well as information rich, the automatic understanding of tables has many applications including knowledge management, information retrieval, web mining, summarization, and content delivery to mobile devices

    正因為表格形式簡潔並且含有豐富的信息，自動理解表格在知識管理、信息檢索、 web挖掘、摘要提取以及對移動設備的內容傳遞等應用中有著非常廣泛的用途。表格在網頁中的普遍存在性以及它們能夠簡潔直觀地描述關系信息的特性也使得他們成為web信息抽取中吸引人的目標，研究web表格信息抽取對web信息抽取技術的研究有著重要的意義。
  6. In his paper, dr michael chau analysed the emergence of racists hate groups in blogs and identified their communication patterns and relationships by using web mining and social network analysis techniques

    周昭瀧博士論文題為從博客中尋找及分析仇恨團體，論文深入分析仇恨團體在博客網上日誌的涌現，並用網路開采及社會網路分析方法，剖析他們在網上的溝通模式和相互關系。
  7. Web mining and information service in digital library

    挖掘工具與數字圖書館信息服務
  8. A framework of recommendation system based on web mining

    給出了基於web挖掘的推薦系統框架。
  9. Sensitive information filtering model based on web mining

    挖掘的敏感信息過濾模型
  10. We want to integrate all these tasks of web mining into an intelligent agent, which can automatically complete these tasks

    我們想把這些網路挖掘任務集成到智能代理（ intelligentagent ）中，由智能代理完成這些工作。
  11. Web mining is one of hotspot of data mining technology in artificial intelligence fields, which implements some function as web access mode, web structure and rule, dynamic search for web content, is a more defiant subject

    Web挖掘為人工智慧領域中數據挖掘技術的一個熱點，它實現對web存取模式、 web結構和規則，以及動態的web內容的查找功能，是一個更具挑戰性的課題。
  12. Web mining is one of hotspot of data mining technology applied in artificial intelligence field. it is a more defiant subject that implements some function as discovering web access mode, web structure and rule and dynamic search for web content

    Web挖掘為人工智慧領域中數據挖掘技術的一個熱點，它實現對web存取模式、 web結構和規則，以及動態的web內容的查找功能，是一個更具挑戰性的課題。
  13. The idea of semantic web mining is to exploit the newly - emerged semantic web technique to improve the web mining. on the other hand, web mining can also be very helpful for the creation of semantic web

    基於語義網路的web挖掘旨在利用web上新的語義結構來改進web挖掘，反之也可以利用web挖掘來幫助構建語義web 。
  14. We came up with algorithm descriptions and reinforced our conclusion by means of real testing examples. some data mining techniques, which can be applied to semantic web mining, were also discussed in this thesis. we explored the suitability of inductive logic programming ( ilp ) method in semantic web mining in more detail, and showed how to make use of this method in the semantic context

    對于語義web挖掘中適合的數據挖掘技術進行了探討，提出了可採用歸納邏輯程序設計作為適合語義化web的數據挖掘技術，給出了如何應用這種技術的演算法描述，並通過具體實例驗證了這種方法對于語義化web環境下進行數據挖掘是可行性。
  15. Research of personalization technologies based on web mining

    挖掘的個性化技術研究
  16. The fourth part introduces the main technology that is needed in the design of the personalized search engine system. the technology includes intelligent agent, conception retrieval technology, user interests digging technology, web mining, information push technology and xml

    第四部分介紹了實現個性化搜索引擎系統所需要的主要技術，包括智能代理agent技術、概念檢索技術、用戶興趣挖掘技術、網路信息挖掘技術、信息推送技術和xml技術。
  17. Web log mining is applying web mining in analysis of web server log in order to solve problems mentioned above

    Web日誌挖掘就是運用數據挖掘的思想來對服務器日誌進行分析處理，從而解決上面提出的各種問題。
  18. A personal intelligent information assistant based on web mining

    挖掘的個人智能信息助手系統
  19. Xml / rdf can explicitly describe the unite, structure and formalization of different sorts web information sources, and it considers the objects of web environment as < wp = 8 > resources and sets down unambiguous grammar and semantic, meanwhile it makes us research and develop new web mining technologies and use traditional mining algorithms and tools to carry out specific and multi - arrangement data mining, based on programming and structure data

    Xml / rdf能夠明確描述網上各種信息源的統一性、結構性和規范化，它把網路環境中的對象視為資源，並制定了明確的描述性語法和語義，使我們能夠在一個規劃化、結構化的統一數據層面上，研究和開發新的網路挖掘技術，同時可以運用傳統的挖掘演算法和工具對各種目標資源進行特定的多種層次的綜合數據挖掘。
  20. First we overview automatic summarization technologies, and then we put forward a new web page summary algorithm based on page segmentation. next we use web summarization methods to extract most relevant features from web pages to improve the accuracy of web classification. and lastly we introduce our automatic summary module, one of three modules in our web mining system - webme, in detail

    本文就文本摘要進行了較為系統的研究：首先全面系統地綜述了自動文本摘要的相關問題和技術；然後根據網頁自身的特點（如結構、鏈接等） ，提出了一種基於網頁分割技術的文本摘要演算法；其次鑒于自動摘要能夠有效除去噪聲、提取出文章的主題內容的特點，我們把自動摘要技術運用在網頁分類上，實驗證明這種方法能夠使分類性能大大提高；在論文的最後，介紹了我們的網路挖掘系統webme中的自動摘要子模塊的設計與實現。
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