DETECTION FOR IRREGULAR DOMAIN OF MULTI DIMENSIONAL VALUED FUNCTIONAL DATA AND ITS APPLICATION TO SENSING DATA

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  • Matsui Yusuke
    Graduated School of Information Science and Technology, Hokkaido University Information Initiative Center
  • Komiya Yuriko
    Information Initiative Center, Hokkaido University
  • Minami Hiroyuki
    Information Initiative Center, Hokkaido University
  • Mizuta Masahiro
    Information Initiative Center, Hokkaido University

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Other Title
  • 多次元値関数データにおける異常領域の検出法とセンシングデータへの応用
  • タジゲンチ カンスウ データ ニ オケル イジョウ リョウイキ ノ ケンシュツホウ ト センシングデータ エ ノ オウヨウ

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In this paper, we propose a method for identifying an irregular domain of multi dimensional data that are observed continuously and its application to sensing data. We partition the data into three subdomains on each dimension - "irregularly high valued domains", "irregularly low valued domains" and "other domains". Then we detect the subdomains in which the irregularities are observed simultaneously. We demonstrate our method with an actual example using sensing data of environmental radio activity level in Fukushima Prefecture.

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