R is the hottest topic in SQL Server 2016. If you want to learn how to use it for advanced analytics, join my seminar at SQL Nexus conference on my 1st in... more »

This is a bit different post in the series about the data mining and machine learning algorithms. This time I am honored and humbled to announce that my fourth... more »

Support vector machines are both, unsupervised and supervised learning models for classification and regression analysis (supervised) and for anomaly detection... more »

With the K-Means algorithm, each object is assigned to exactly one cluster. It is assigned to this cluster with a probability equal to 1.0. It is assigned to... more »

With the K-Means algorithm, each object is assigned to exactly one cluster. It is assigned to this cluster with a probability equal to 1.0. It is assigned to... more »

This is the fourth part of the fraud detection whitepaper. You can find the first part, the second part, and the third part in my previous blog posts about... more »

This is the third part of the fraud detection whitepaper. You can find the first part and the second part in my previous blog posts about this topic. Data... more »

This is the second part of the fraud detection whitepaper. You can find the first part in my previous blog post about this topic. My Approach to Data Mining... more »

While working on different fraud detection projects, I developed my own approach to the solution for this problem. In my PASS Summit 2013 session I am... more »