• DocumentCode
    1710811
  • Title

    Similarity Matching Algorithm of Multiple Granularities Time-Series Data

  • Author

    Hao, Wenning ; Zhao, Enlai ; Zhang, Hongjun ; Chen, Gang ; Zhao, Shuining

  • Author_Institution
    Eng. Inst. of Eng. Corps, PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • Firstpage
    861
  • Lastpage
    865
  • Abstract
    Focused on the present status that the algorithm of measuring time-series distance is many but the appropriate algorithm of measuring multiple granularities time-series is few, the paper advanced a similarity matching algorithm of multiple granularities time-series based on the ideal of time calibrator and hypothesis test. It firstly expounded the definition of multiple granularities time-series, furthermore proposed a sample of distance; secondly it put forward the similarity matching algorithm of multiple granularities time-series; finally, the experimental result proved that the algorithm can effectively reflect the time-series of multiple granularities.
  • Keywords
    algorithm theory; time series; hypothesis test; multiple granularity time-series data; similarity matching algorithm; time calibrator; time-series distance; Algorithm design and analysis; Calibration; Data mining; Databases; Interpolation; Security; Time measurement; distance measure; similarity matching; time granularity; time-series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2010 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4244-8626-7
  • Electronic_ISBN
    978-0-7695-4258-4
  • Type

    conf

  • DOI
    10.1109/MINES.2010.182
  • Filename
    5671300