Method for time series segment based on important point
Luo Huan · Computer Engineering and Applications Journal · 2011
Piecewise linear representation is an effective method to reduce the dimension of time series.The crux of the meth-od is ascertaining the segmenting point.A new subsequences segment algorithm based on important point is proposed,refer-ence 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 al-so wipes off noise effectively and finds the pattern features of time series.