| Citation: | LI X，NIU B N，LIU H N，et al. A hybrid method for rare time series classification with FastDTW and SBD[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（6）：1523-1532 （in Chinese） doi: 10.13700/j.bh.1001-5965.2021.0471
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Rare time series classification (RTSC) is widely used in astronomical observation and other fields. Aiming at the problems of low accuracy and high time cost in the current rare time series classification methods for large-scale data, RTSC-FS is proposed, which takes the short-time scale rare celestial body light change events in astronomical observations as the research object. The dynamic time wrapping (DTW) enhancement FastDTW and SBD are combined in RTSC-FS to estimate sequence distance. The former has low computational complexity, excellent measurement accuracy, while the latter has fast computational speed. Utilizing additional time-saving data preprocessing methods such as resampling, window function smoothing, standardized data, and sliding window filtering. On the time series data set of magnitude changes recorded by the ground-based wide-angle camera (GWAC), RTSC-FS found 44 curves with flare characteristics from approximately 7.91 million days of light change data. The recall rate is 60.27%, and the precision rate is 34.65%. Compared with the Baseline, the number of discoveries is larger, and the recall rate and accuracy rate have been improved.
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