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ThinkMind // DATA ANALYTICS 2014, The Third International Conference on Data Analytics // View article data_analytics_2014_3_20_60080


A Method for Measuring Similarity of Simulation Time-Series Data Based on Dynamic Time Warping

Authors:
Ping Ma
Zhong Zhang
Kaibin Zhao
Yuning Li

Keywords: simulation; time-series data; similarity measure; DTW; segmentation

Abstract:
Against the measuring problem of similarity between simulation time-series data and reference time-series data with different lengths or distorted timeline, a similarity measuring method based on DTW is proposed. Considering the trends of time-series data, a new windowing algorithm for Dynamic Time Warping (DTW) is presented. The correctness of the algorithm is proved. On this basis, simulation time-series data and reference time-series data are segmented according to event information, and the overall similarity between them is obtained by calculating DTW distance in different segments. Finally, an example is given to validate the reasonability and validity of the proposed method.

Pages: 59 to 64

Copyright: Copyright (c) IARIA, 2014

Publication date: August 24, 2014

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-358-2

Location: Rome, Italy

Dates: from August 24, 2014 to August 28, 2013

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