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Training: "Using Elasticsearch for Anomaly Detection"

Track: Training / Time: To be announced / Location: To be announced

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.

Mark Harwood, Software Engineer at Elasticsearch

Mark Harwood

Biography: Mark Harwood

Mark Harwood is a software engineer at Elasticsearch and long-time contributor to Lucene. Prior to joining Elasticsearch Mark was Chief Scientist at BAE Systems Detica, designing search and visualization systems on multi-billion document solutions for analysts in commercial and government clients.

Twitter: @elasticmark