This dataset contains raw time series data from five monitoring stations, stored as NumPy binary arrays (.npy). Each file (station_001.npy to station_005.npy) is a float32 matrix of shape (1000, 78),
OS-Metrics is a 7-day, 15-second resolution, causally annotated performance time series dataset, used to evaluate anomaly detection and change point detection algorithms. It contains 6 metric files an
Automatic detection of subsequence anomalies (i.e., an abnormal waveform denoted by a sequence of data points) in time series is critical in a wide variety of domains. However, most existing methods f
Full edition for scientific use. The main purpose of the study was to identify the number of people infected with coronavirus in Austria as well as to report how people are...
Multivariate time series anomaly detection is a challenging problem because there can be a number of complex relationships between variables in multivariate time series.Although graph neural networks
