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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/546


    Title: 利用Burrows-Wheeler轉換對社會網路進行壓縮;Burrows-Wheeler Transformation and Social Network Compression
    Authors: 吳美瑾;WU, MEI-JIN
    Contributors: 資訊工程研究所
    Keywords: 游程編碼;Burrows-Wheeler轉換;壓縮;社會網路;霍夫曼編碼;Run-length encoding;Burrows-Wheeler transform;comrpession;network;Huffman encoding
    Date: 2017
    Issue Date: 2019-07-17
    Publisher: 資訊工程研究所
    Abstract: 資料壓縮可有效將資料量減少。Burrows和Wheeler提出了一個轉換方式使轉換後的資料可以更有效的被壓縮。隨著社會網路的快速成長,如何將這些巨量資料進行無失真的壓縮成為一個重要的議題。在這篇研究中,我們提出兩個對社會網路進行無失真壓縮的演算法。我們的方法是將游程編碼做一些變化,並與Burrows-Wheeler轉換和霍夫曼編碼結合,對社會網路進行壓縮。
    Data compression is an useful technique to reduce the size of data. Bur-rows and Wheeler proposed an algorithm which output can be used as aninput for another compression algorithm to achieve better compression ratio.With the rapidly expansion of social networks, how to save these enormousdata without losing any information is an important issue. Therefore, in thisthesis we proposed two methods to compress social networks. Our methodmodifies run-length encoding and combines Burrows-Wheeler transform andHuffman encoding to compress social networks.
    Appears in Collections:[資訊工程學系] 學位論文

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