Chapter 6. Anomaly Detection
Note
Learning Objectives
By the end of this chapter, you will be able to:
Use parametric and non-parametric methods to find outliers in univariate and multivariate data
Use data transformations to identify outliers in univariate and multivariate data
Work with Mahalanobis distances
Improve anomaly detection performance by incorporating a model of seasonality
Note
In this chapter, we will have a look at different anomaly detection techniques.