Detecting Anomalies (and Fraud) in Networks
Tax Administration Research Centre (TARC)
|Date: ||Wednesday 24 June 2020|
Network Analysis, Machine Learning and Statistics: How can Policy-Institutes utilize networks to achieve aims such as fraud detection?
There is an explosion of data obtained from systems that can be conceptualized as networks. The collection and analysis of network data plays a key role in a wide range of scientific fields. Examples include, but are not limited to, biology, computer science, sociology and economics.
The analysis of the observed networks requires the ability to examine big data by utilizing advanced data analytical methods.
How can recently developed Machine Learning and Statistical techniques assist organisations (such as Revenue Authorities) to enhance their understanding of the observed networks?
Can advanced data analytics improve the detection of anomalies (fraud) in large and complex networks such as Values added Tax (VAT) and Cyber-Security systems?
Which are the Mathematical and Statistical challenges?
Which are the most relative tools from the emerging literature that can be used?
These are some of the questions the TARC workshop aims to provide answers to.
This free workshop will take place online - Please register your place on Eventbrite https://www.eventbrite.co.uk/e/detecting-anomalies-and-fraud-in-networks-tickets-109664704082