COVID Case Data Streams
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/Ananya-Joshi/IJCAI23_Supplemental
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资源简介：
该数据集是一个实时的新冠病例数据流，来源于不同地区，旨在评估异常检测方法。该数据集包含了多种数据流，以确保覆盖人口众多的州和地区，并用于收集专家对异常检测的排名意见。数据集的规模为3341个数据流，其任务是对公共卫生数据中的异常检测进行评估。
This dataset consists of real-time COVID-19 case data streams sourced from diverse regions, and is developed to evaluate anomaly detection methods. It includes multiple data streams to cover densely populated states and regions, and is employed to gather expert ranking opinions on anomaly detection. With a total of 3,341 data streams, this dataset targets the task of evaluating anomaly detection in public health data.
提供机构：
Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
