Presentation: TweetRevealing the Uncommonly Common with Elasticsearch

This session will cover a demonstration of how anomaly detection algorithms can spot credit card fraud, find movies that urgently need removing from your "family friendly" category and reveal the UK's most unexpected hotspot for possessing weapons. Using forthcoming features of the open source search and analytics platform, Elasticsearch, this session will demonstrate these scenarios with real-world data and examples.

Training: Using Elasticsearch for Anomaly Detection Tweet

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.