Affiliation:
1. National University of Defense Technology
2. Guangzhou Military Region
Abstract
Symbolic representation of time series has recently attracted a lot of research interest. This is a difficult problem because of the high dimensionality of the data, particularly when the length of the time series becomes longer. In this paper, we introduce a new symbolic representation based on fast segmentation, called the trend feature symbols approximation (TFSA). The experimental results show that compared to some method, the segmentation efficiency of TFSA is improved.
Publisher
Trans Tech Publications, Ltd.
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