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    ASIA unversity > 資訊學院 > 會議論文 >  Item 310904400/7191

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/7191

    Title: Knowledge Discovery in Peer-to-Peer Application Using a Data Warehousing Approach
    Authors: Min-Feng Wang;Jui-Hwa Feng;and Meng-Feng Tsai
    Contributors: Department of Computer Science and Information Engineering,National Central University
    Keywords: P2P;Data Mining;Data Warehouse
    Date: 2007-12-20
    Issue Date: 2010-01-12 16:23:43 (UTC+8)
    Publisher: 亞洲大學資訊學院;中華電腦學會
    Abstract: Recently, BitTorrent has emerged as a very popular and scalable peer-to-peer file distribution mechanism. It has been successful at distributing large file quickly and efficiently. With large number users of BitTorrent, there should be much information about the user data flowing through network. The rich information may imply the users’ habitual behavior, data access pattern, interested file, and so on. The information is useful for general users, network managers, and designer, etc. Hence, we propose a framework on BitTorrent which combined with data warehouse and data mining techniques to offer an efficient and systematic analysis for users.
    Relation: 2007NCS全國計算機會議 12-20~21
    Appears in Collections:[資訊學院] 會議論文

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