“…Since then researchers have investigated both machine-learning and traditional statistical approaches to detect money laundering (Irwin et al, 2012, Bidabad, 2017, Chang et al, 2008, Deng et al, 2009, Drezewski et al, 2012, Colladon and Remondi, 2017, Gilmour, 2017, Ju and Zheng, 2009, Ngai et al, 2011, Perols, 2011, Regan et al, 2017, Savage et al, 2016, Savage, 2017, Turner and Irwin, 2018, Unger et al, 2011, Wang et al, 2007, Zdanowicz, 2004a, Zdanowicz, 2009, Zhang et al, 2003, Gao, 2009). Zhang et al authors on using the system on real-world data found it was able to detect suspicious activity with a low rate of false positives.…”