My new paper: Anomaly Detection based on LDA, Autoencoder and GMM

Recently my team has finished a paper about Anomaly Detection. We proposed a novel unsupervised Anomaly Detection model (LAG) based on LDA, Autoencoder, and GMM. Our model can be used on both structured and unstructured data and provides a comprehensive solution for various Anomaly Detection tasks in different industries. Particularly, we provide a way toContinue reading “My new paper: Anomaly Detection based on LDA, Autoencoder and GMM”

Suspicious customer detection with LDA + Auto-Encoder part1

Suspicious customer detection is one of the applications of Fraud Detection or Anomaly Detection. There are many data-driven approaches in this area. This blog will introduce a very novel approach as a good alternative solution for suspicious customer detection: LDA + Auto-Encoder. Different business units or business lines have different perspectives to detect anomaly customers.Continue reading “Suspicious customer detection with LDA + Auto-Encoder part1”