Closed DRMBSGN closed 2 years ago
You can find the corresponding citation from our paper [1]. [1] Kwei-Herng Lai, D. Zha, Junjie Xu, and Yue Zhao. Revisiting time series outlier detection: Definitions and benchmarks. In NeurIPS Dataset and Benchmark Track, 2021. Especially, the generation code is here: https://github.com/datamllab/tods/tree/benchmark/benchmark
I want to know the details about what you experimented using NeurIPS-TS dataset. According to the paper, It includes univariate time series which have total length of 50,000. I couldn't find any information about how to generate or sample that train, test samples. Could you explain more detailed design of your experiment using this dataset? Is there any future plans to update the related codes?