TSSB
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/ermshaua/time-series-segmentation-benchmark
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资源简介:
该数据集汇总了来自UCR档案的半合成时间序列数据,这些数据特征来源于传感器、设备、图像、频谱图以及模拟信号。此外,该数据集利用半合成数据来模拟不同的场景。规模从中等到大型,数据量从240条到4万条不等。该数据集的任务是对流式时间序列进行分割。
This dataset compiles semi-synthetic time series data from the UCR Archive, with features extracted from sensors, devices, images, spectrograms, and simulated signals. Furthermore, this dataset employs semi-synthetic data to simulate diverse application scenarios. It spans medium to large scales, with the number of samples varying between 240 and 40,000. The core task of this dataset is streaming time series segmentation.
提供机构:
TSSB



