Invention Grant
US07346593B2 Autoregressive model learning device for time-series data and a device to detect outlier and change point using the same 有权
用于时间序列数据的自回归模型学习装置和使用该数据的异常值和变化点的装置

  • Patent Title: Autoregressive model learning device for time-series data and a device to detect outlier and change point using the same
  • Patent Title (中): 用于时间序列数据的自回归模型学习装置和使用该数据的异常值和变化点的装置
  • Application No.: US10619626
    Application Date: 2003-07-16
  • Publication No.: US07346593B2
    Publication Date: 2008-03-18
  • Inventor: Junichi TakeuchiKenji Yamanishi
  • Applicant: Junichi TakeuchiKenji Yamanishi
  • Applicant Address: JP Tokyo
  • Assignee: NEC Corporation
  • Current Assignee: NEC Corporation
  • Current Assignee Address: JP Tokyo
  • Agency: Foley & Lardner LLP
  • Priority: JP2002-207718 20020717
  • Main IPC: G06F17/00
  • IPC: G06F17/00
Autoregressive model learning device for time-series data and a device to detect outlier and change point using the same
Abstract:
For sequentially input data string, the outliner and the change point are detected through calculation of the outlier score and the change point score by combining a time-series model learning device to learn the generation mechanism of the read data series as the time-series statistic model, a score calculator to calculate the outlier score of each data based on the time-series model parameter and the input data, a moving average calculator to calculate the moving average of the outlier score, a time-series model learning device to learn the generation mechanism of the moving average series as the time-series statistic model and the above score calculator that further calculates the outlier score of the moving average based on the moving average of the outlier score and outputs the result as the change point score of the original data.
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