nab_realTraffic: Numenta Anomaly Benchmark (NAB) realTraffic

In harbinger: A Unified Time Series Event Detection Framework

Numenta Anomaly Benchmark (NAB) realTraffic

Description

Data collection with real-world time-series. Real data from online data traffic with anomalies As part of the Numenta Anomaly Benchmark (NAB), this dataset contains time series with real and synthetic data. The real data comes from network monitoring and cloud computing. On the other hand, synthetic data simulate series with or without anomalies. See cefet-rj-dal/united for detailed guidance on using this package and the other datasets available in it. Labels available? Yes

Usage

data(nab_realTraffic)

Format

A list of time series.

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).

Source

Numenta Anomaly Benchmark (NAB) Dataset

References

Lavin, A., & Ahmad, S. (2015). Evaluating real-time anomaly detection algorithms – the Numenta Anomaly Benchmark. 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Examples

data(nab_realTraffic)
nab_grp <- nab_realTraffic[[1]]
serie <- nab_grp[[1]]

harbinger documentation built on Feb. 11, 2026, 9:06 a.m.