A Representation of Time Series Pattern Based on Skeleton Points

摘要：

　　Time series is the characteristic of a large amount of data,high dimension and fast data updating,so it is difficult to directly carry out data mining in the original time series.Drawing on the basic idea of linear segmentation of time series,a piecewise linear representation based on key points is proposed in this paper.Linear straight-line segments composed of skeleton points are used to approximate the time series.Skeleton points are regarded as the segmentation points to reflect the main features of time series.Experiment shows that this method can reduce the dimension of time series and minimize the overall error.

关键词： Time series Algorithm Piecewise Skeleton points

作者: Yeping Peng

作者单位: Software College of Jishou University,Zhangjiajie,Hunan Province,China

会议类型: 国际会议

会议名称: 2019年第二届智能系统研究与机电工程国际会议(ISRME 2019) 2019 2nd International Conference on Intelligent Systems Research and Mechatronics Engineering

会议地点: 太原

会议语种:英文

页码: 366-369

在线出版日期: 2019-06-29（万方平台首次上网日期，不代表论文的发表时间）