This survey paper categorises, compares, and summarises from
almost all published technical and review articles in automated
fraud detection within the last 10 years. It defines the professional
fraudster, formalises the main types and subtypes of known fraud,
and presents the nature of data evidence collected within affected
industries. Within the business context of mining the data to
achieve higher cost savings, this research presents methods and
techniques together with their problems. Compared to all related
reviews on fraud detection, this survey covers much more
technical articles and is the only one, to the best of our
knowledge, which proposes alternative data and solutions from
related domains