Apache: Big Data 2015

Fraud is getting more complex and dangerous every minute, with Fraudsters countering anti-fraud measures through technology and advanced statistical models. On the converse, overprotective fraud solutions are driving customers away. Finding the right level of fraud prevention is more an art than a science. As data scientists our duty is not to master the art, but to enable our customers to draw this fine line in a simple yet effective manner.

In this session, Seshika will take you through
• How to detect anomalies in real time using Complex Event Processing
• Why Markov Modelling is great, in detecting rare activity sequences
• How Scoring Functions can be used to reduce False Positives
• How Machine Learning can be used to intensify fraud detection
• What visualizations will enable Analysts to further crackdown relationships in large fraud rings