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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/54460


    Title: 大資料多元尺度在網路使用者偏好分析之應用
    The application of large data multidimensional scaling method in network user preference
    Authors: 潘靜儒
    Contributors: 曾正男
    潘靜儒
    Keywords: 大資料
    多元尺度
    網路使用者偏好
    Date: 2011
    Issue Date: 2012-10-30 11:07:21 (UTC+8)
    Abstract: 由於現在網路發展的非常快速，資料的產生速度以及使用方式已經超過人們的分析能力與解讀能力，因此近來大資料計算是一個很重要的研究課題，許多科學家與研究單位都積極地投入大量的研究資源，目的就是要研究這些龐大的資料要如何去分析，或是解讀。特別是大型網站上的資料，使用者的數量和可點選的項目是隨著時間不斷增加，如何分析這類的資料是一個重要的課題。

    我們將介紹如何利用Python程式的特性對大型網站進行使用者偏好分析，透過亂數投影和分解-合成多元尺度法的合作，做到使用者偏好網路的建制，協助大型網站對使用者進行即時性的閱讀項目推薦。我們提出Data is cache for dimension reduction 的概念，說明大資料計算必須配合資料庫才能達到真正的快速計算結果。
    Reference: [1]http://www.whitehouse.gov/blog/2012/03/29/big-data-big-deal

    [2]http://en.wikipedia.org/wiki/John_Gage

    [3]http://nhird.nhri.org.tw/

    [4]http://nhird.nhri.org.tw/date_01.htm

    [5]Fradkin, D. and Madigan, D: Experiments with random projections for machine learning, In Proceedings of KDD-03, The Ninth International Conference on Knowledge Discovery and Data Mining, 517-522,2003

    [6]Borg, I., Groenen, P.: Modern Multidimensional Scaling: theory and applications (2nd ed.), New York: Springer-Verlag},pp. 207–212. ISBN 0-387-94845-7,2005.

    [7]Jengnan Tzeng1, Henry HS Lu2 and Wen-Hsiung Li : Multidimensional scaling for large genomic data sets , BMC Bioinformatics , Vol.9, No.179.(SCI),2008.04.

    [8]Morrison A, Ross G, Chalmers M: Fast multidimensional scaling through sampling, springs and interpolation,
    Information Visualization 2:68-77,2003.

    [9]F.G. Gustavson. Two fast algorithms for sparse matrices: Multiplication and permuted transposition. ACM Transactions on Mathematical Software , 4(3):250–269, 1978.

    [10]X. Huang and V.Y. Pan. Fast rectangular matrix multiplications and applications , Journal of
    Complexity , 14:257–299, 1998.
    Description: 碩士
    國立政治大學
    應用數學研究所
    98751012
    100
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0098751012
    Data Type: thesis
    Appears in Collections:[Department of Mathematical Sciences] Theses

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