IT Monitoring Time Series
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/ckassaad/causal_discovery_for_time_series
下载链接
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资源简介：
该数据集是一个包含实际网络服务器活动指标的真实世界数据集，它包含了1106个时间戳和7个节点。此外，该数据集被用于比较CASTOR算法与其他因果发现方法在多变量时间序列数据中的性能表现。具体规模为1106个时间戳和7个节点，所涉及的任务是进行多变量时间序列数据中的因果发现。
This is a real-world dataset containing actual network server activity metrics, comprising 1106 timestamps and 7 nodes. Furthermore, this dataset has been employed to compare the performance of the CASTOR algorithm against other causal discovery methods on multivariate time series data. With a specific scale of 1106 timestamps and 7 nodes, its associated task is causal discovery on multivariate time series data.
提供机构：
EasyVista
