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International Conference on Advances in Information Technology

IAIT 2013: Advances in Information Technology pp 70–79Cite as

Icon Placement Regularization for Jammed Profiles: Applications to Web-Registered Personnel Mining

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 409))

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Waseda University, Tokyo, 169-8555, Japan

    Hiroyuki Kamiya, Ryota Yokote & Yasuo Matsuyama

Authors
  1. Hiroyuki Kamiya
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  2. Ryota Yokote
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  3. Yasuo Matsuyama
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Editor information

Editors and Affiliations

  1. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-Thit Rd., 10140, Bangkok, Thailand

    Borworn Papasratorn

  2. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-This Td., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Nipon Charoenkitkarn

  3. School of Information Technology, King Mongkut’s University of Technology, Thonburi, 126 Pracha-U-Thit Rd., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Vajirasak Vanijja

  4. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-Thit Rd., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Vithida Chongsuphajaisiddhi

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© 2013 Springer-Verlag Berlin Heidelberg

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Kamiya, H., Yokote, R., Matsuyama, Y. (2013). Icon Placement Regularization for Jammed Profiles: Applications to Web-Registered Personnel Mining. In: Papasratorn, B., Charoenkitkarn, N., Vanijja, V., Chongsuphajaisiddhi, V. (eds) Advances in Information Technology. IAIT 2013. Communications in Computer and Information Science, vol 409. Springer, Cham. https://doi.org/10.1007/978-3-319-03783-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-03783-7_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03782-0

  • Online ISBN: 978-3-319-03783-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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