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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/34997

    Title: Using petri nets to enhance web usage mining
    Other Titles: 利用派翠網路來協助網站使用者習性探勘
    Authors: 楊士央;Yang, Shih-yang
    Contributors: 淡江大學資訊工程學系博士班
    陳伯榮;Chen, Po-zung
    Keywords: 網站使用者習性探勘;派翠網路;資料前置處理;Web Usage Mining;Petri Nets;Data Preprocessing
    Date: 2008
    Issue Date: 2010-01-11 05:52:47 (UTC+8)
    Abstract: 在網站使用者習性探勘的過程中,正確的網站架構分析不僅可以協助資料前置處理,也可以提高探勘結果的正確性。
    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.
    PN(Petri Nets) is a high-level graphical model widely used in modeling system activities with concurrency. PN can save the analyzed results in an incidence matrix for future follow-up analyses, and some already-verified properties held by PN, 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 PN as the Web structure model. We adopt Place in the PN 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 PN model, to help proceed with pageview identification and path completion at the data preprocessing phase. In addition, we conduct Web structure analysis to generate pageview state matrix, and we further undergo the analysis of user browsing behaviors through Markov analysis at the phase of pattern discovery.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

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