English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 51275/86342 (59%)
造訪人次 : 8147031      線上人數 : 59
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59939


    題名: Modeling and Analysis the Web Structure Using Stochastic Timed Petri Nets
    作者: Chen, Po-Zung;Sun, Chu-Hao;Yang, Shih-Yang
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Web usage mining;Data preprocessing;Stochastic Timed Petri Nets;Reachability behavior;Pageview identification;Path completion
    日期: 2008-11
    上傳時間: 2013-06-13 11:29:50 (UTC+8)
    出版者: Oulu: Academy Publisher
    摘要: Precise analysis of the Web structure can facilitate data pre-processing and enhance the accuracy of the mining results in the procedure of Web usage mining. STPN(Stochastic Timed Petri Nets) is a high-level graphical model widely used in modeling system activities with concurrency. STPN can save the analyzed results in an incidence matrix for future follow-up analyses, and some already-verified properties held by STPN, such as reachability, can also be used to solve some unsettled problems in the model. In the present study, we put forth the use of STPN as the Web structure model. We adopt Place in the STPN model to represent webpage on the websites and use Transition to represent hyperlink. Through the model, we can conduct Web structure analysis.
    We simultaneously employ the Web structure analysis information in the incidence matrix and the reachability properties, obtained from the STPN model, to help proceed with pageview identification and path completion at the
    data preprocessing phase.
    關聯: Journal of Software 3(8), pp.19-26
    DOI: 10.4304/jsw.3.8.19-26
    顯示於類別:[資訊工程學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    1796-217X_ 3(8)p19-26.pdf556KbAdobe PDF117檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋