DPFDA 2015 - International Workshop on Detecting and Preventing Fraud with Data Analytics

Cyber fraud, money-laundering and terrorism financing are amongst the biggest security threats today. Emerging challenges include countering virtual currency money laundering and multi-billion healthcare fraud. With the increasing amounts of available data, new opportunities emerge for innovative and intelligent techniques to detect suspected fraudulent behavior. Businesses are increasingly turning to Big Data analytics to predict fraud in real-time. There is a growing need in a workshop focused on research-intensive and innovative technology approaches, rather than pure economic issues. By summarizing findings from practical studies, worskhop attendees will gain better insight into the latest research and developments in financial and social security.
Main topics of interest include, but are not limited to
Big Data and real-time analytics to prevent fraud
Data mining techniques in fraud detection
Intelligent anti-money laundering systems
Fraud network analysis
Forensic data analysis
Fraud risk assessment techniques
Fraud detection with visual analytics
Organizer
Alexey Tselykh, Southern Federal University, Russia
E-Mail: tselykh-AT-sfedu.ru
Phone: +79185116226