  We present a prototype system developed in cooperation with a business
organization that combines information visualization and pattern-matching
techniques to detect fraudulent activity by employees. The system is built upon
common fraud patterns searched while trying to detect occupational fraud
suggested by internal auditors of a business company. The main visualization of
the system consists of a multi-layer radial drawing that represents the
activity of the employees and clients. Each layer represents a different
examined pattern whereas heat-maps indicating suspicious activity are
incorporated in the visualization. The data are first preprocessed based on a
decision tree generated by the examined patterns and each employee is assigned
a value indicating whether or not there exist indications of fraud. The
visualization is presented as an animation and the employees are visualized one
by one according to their severity values together with their related clients.
