Icon placement regularization for Jammed profiles: Applications to web-registered personnel mining

Hiroyuki Kamiya, Ryota Yokote, Yasuo Matsuyama

    研究成果: Conference contribution

    抄録

    A new icon spotting method for designing a user-friendly GUI is described. Here, each icon can represent continuous and discrete vector data which are possibly high-dimensional. An important issue is icon-margin adjustment or uniforming while the relative positioning is maintained. For generating such GUI, multidimensional scaling, kernel principal component analysis (KPCA) and regularization were combined. This method was applied to a set of city locations and a big data set of web-registered job hunter profiles. The former is used to check to see location errors. There were only little mis-allocations. The latter is a set of high dimensional and sparsely discrete-valued big data in the real world. Through these experiments, it was recognized that the presented method, which combines multidimensional scaling, KPCA and the regularization, is applicable to a wide class of jammed big data for generating a user-friendly GUI.

    本文言語English
    ホスト出版物のタイトルCommunications in Computer and Information Science
    ページ70-79
    ページ数10
    409
    DOI
    出版ステータスPublished - 2013
    イベント6th International Conference on Advances in Information Technology 2013, IAIT 2013 - Bangkok
    継続期間: 2013 12 122013 12 13

    出版物シリーズ

    名前Communications in Computer and Information Science
    409
    ISSN(印刷版)18650929

    Other

    Other6th International Conference on Advances in Information Technology 2013, IAIT 2013
    CityBangkok
    Period13/12/1213/12/13

    ASJC Scopus subject areas

    • Computer Science(all)

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