一种基于倾斜时间窗口的时间序列偏向最近模式匹配算法

A Recent-biased Pattern Matching Algorithm for Time Series Based on Tilted-time Window

  • 摘要: 提出一种时间序列偏向最近模式匹配算法;这种算法通过定义一种偏向最近距离及采用倾斜时间窗口Haar小波变换高层数据表示方法,实现时间序列偏向最近模式无遗漏高效查询.理论分析与实验验证证明了该方法的有效性.

     

    Abstract: A recent-biased pattern matching algorithm for time series is proposed.By defining a recent-biased distance and applying tilted-time window Haar wavelet representation for time series data,the recent-biased patterns in a time series can be queried efficiently without false dismissals.Theoretical analysis and experimental results validate the effectiveness of the proposed algorithm.

     

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