Training: Tweet"Using Elasticsearch for Anomaly Detection"
In this session we will explore how Elasticsearch and Kibana can be used to highlight sources of fraudulent activity in financial transaction data. The platform's search index maintains a treasure-trove of statistical information that is traditionally used for unstructured search ranking but can also be used for anomaly detection in structured data. Mark Harwood will demonstrate an example of a "common point of compromise" analysis on credit card transactions, using features of the platform to highlight the likely sources of fraud.