Part of the Yahoo Webscope S5 labeled anomaly detection dataset.
A1 contains real-world time series with binary anomaly labels. Useful for
evaluating anomaly detection methods on real traffic-like data. Labels
available: Yes.
Details
This package ships a mini version of the dataset. Use loadfulldata() to download and load the full dataset from the URL stored in attr(url).
References
Yoshihara K, Takahashi K (2022) A simple method for unsupervised anomaly detection: An application to Web time series data. PLoS ONE 17(1).
Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection: A survey. ACM Computing Surveys, 41(3), 1–58.
Examples
data(A1Benchmark)
# Access the first series and visualize
s <- A1Benchmark[[1]]
plot(ts(s$value), main = names(A1Benchmark)[1], ylab = "value")
mean(s$event) # proportion of labeled anomalies
#> [1] 0