© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
K. FeaselFinding Ghosts in Your Datahttps://doi.org/10.1007/978-1-4842-8870-2_13

13. Time and Anomalies

Kevin Feasel1  
(1)
DURHAM, NC, USA
 

Now that we have entered Part IV of this book, it is time to introduce an important topic in anomaly detection: time series anomaly detection. Just as with Parts II and III, we will break up time series analysis based on the number of features: first, we will deal with single-series time series anomaly detection; then, after we have a model in place for single-series time series anomaly detection, we will deal with the multi-series case.

This chapter will start by providing the basis behind single-series time series analysis. ...

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