Summary: Unless you’re involved in anomaly detection you may never have heard of Unsupervised Decision Trees.  It’s a very interesting approach to decision trees that on the surface doesn’t sound possible but in practice is the backbone of modern intrusion detection.

I was at a presentation recently that focused on stream processing but the use case presented was about anomaly detection.  When they started talking about unsupervised decision trees my…

Summary:  Dealing with imbalanced datasets is an everyday problem.  SMOTE, Synthetic Minority Oversampling TEchnique and its variants are techniques for solving this problem through oversampling that have recently become a very popular way to improve model performance.

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