[Video] How to improve fraud detection using social network analytics

Cem Baris 26.05.2015

Professor Bart Baesens presented a very successful Fraud Analytics webinar on Wednesday 20th May 2015 entitled "How to improve Fraud Detection using Social Network Analytics". In this session Bart covered how to to:

  • use social networks for fraud detection
  • build a social network fraud classifier
  • evaluate a social network fraud classifier
     

If you were unable to attend the session, you can view the recording below:

 

Bart Baesens is a professor at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on analytics, customer relationship management, web analytics, fraud detection, and credit risk management. His findings have been published in well-known international journals (e.g. Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research) and presented at international top conferences.

Join the conversation

You can follow us on Twitter @morganmckinley and use the hashtag #successseries to join the conversation. Morgan McKinley’s Success Series events enable current and future leaders and specialists to network and learn from experts.

Cem Baris's picture
Director | Information Technology & Sales
cbaris@morganmckinley.co.uk