Yahoo Labs has just released an interesting new data set useful for research on detecting anomalies (or outliers) in time series data. There are many contexts in which anomaly detection is important. For Yahoo, the main use case is in detecting unusual traffic on Yahoo servers.The data set comprises real traffic to Yahoo services, along with some synthetic data. There are 367 time series in the data set, each of which contains between 741 and 1680 observations recorded at regular …