关键词: 时间序列, 分割, 重要点, 时间窗

Abstract: Piecewise linear representation is an effective method to reduce the dimension of time series.The crux of the method is ascertaining the segmenting point.A new subsequences segment algorithm based on important point is proposed，reference to the piecewise linear representation of time series.Different with the normal methods that compare the relation among the three neighboring points，the method’s check time window includes the former important point，the candidate point and the next specified time window.The important point is ascertained by comparing the change between the point front pattern and the back’s.Compared with other seven segmentation algorithms，the experiments show that the proposed algorithm has better performance，not only achieves the better overall quality on the segmentation results at the same compressibility，but also wipes off noise effectively and finds the pattern features of time series.

Key words: time series, segmentation, important point, time window