Flexible segmentation for multi-dimensional time series data

DOI

Bibliographic Information

Other Title
  • 多変量時系列データの柔軟な分割方法の提案

Description

<p>Along with the development of IoT technology, large amount of time series data are becoming available in recent years. To discover useful knowledge from time series data, the method of segmenting multivariate time series data into characteristic patterns has been receiving much attention. However, positions of segmentation obtained by previous methods are identical across variables, which makes difficult to capture the specific feature of each variable. To deal with this problem, we propose a new method that can obtain appropriate positions of segmentation for each variable. Moreover, we experimentally show the effectiveness of our proposed method using both artificial and real datasets.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390282763118487936
  • NII Article ID
    130007658374
  • DOI
    10.11517/pjsai.jsai2019.0_1i4j205
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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