Recap: Anomaly Detection in R

Introduction to Anomaly Detection in R

Alastair Rushworth

Data Scientist

Course summary

Chapter 1
Testing and visualizing outliers for single variable and time series

Chapter 2
Distance and density based anomaly detection

Chapter 3
Tree based anomaly detection

Chapter 4
Comparing performance and using factors

Introduction to Anomaly Detection in R

What's next?

  • Model tuning: eg. choosing $k$ for LOF & kNN

  • Many other techniques: One-class SVM & clustering approaches

Introduction to Anomaly Detection in R

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Introduction to Anomaly Detection in R

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