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Numenta Anomaly Benchmark (NAB) realTweets

Source: R/united.R
nab_realTweets.Rd

Real-world time series with labeled anomalies from Twitter volumes (NAB). Labels available: Yes. 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_realTweets)

Format

A list of time series.

Source

Numenta Anomaly Benchmark (NAB) Dataset

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

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_realTweets)
s <- nab_realTweets[[1]]
plot(ts(s$value), main = names(nab_realTweets)[1])

mean(s$event)
#> [1] 0