Introducing Afraus: an Unsupervised Fraud Detection Algorithm
2015/07/02
The last Report to the Nation published by ACFE, stated that on average, fraud accounts for nearly the 5% of companies revenues.
on average, fraud accounts for nearly the 5% of companies revenues


Projecting this number for the whole world GDP, it results that the “fraud-country” produces something like a GDP 3 times greater than the Canadian GDP.
tags:
algorithm /analytics /apps /computer science /data /data analysis /data analytics /fraud /fraud analytics /internal audit /R /shiny /shiny apps /
Network Visualisation With R
2014/12/05
The main reason why
After all, I am still an Internal Auditor. Therefore I often face one of the typical internal auditors problems: understand links between people and companies, in order to discover the existence of hidden communities that could expose the company to unknown risks.
the solution: linker
In order to address this problem I am developing Linker, a lean shiny app that take 1 to 1 links as an input and gives as output a network map:
tags:
analytics /communities /data analysis /data analytics /internal audit /Linker /network analysis /R /