by Hudson Hollister
Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ IT systems. Data analytics provides greater efficacy and higher hit rate than traditional investigative methods – and now can even be performed using only public…Continue
Added by Paul Derstine on October 28, 2019 at 11:30am — No Comments
by Vic Diloreto, Director, Software Products, Elder Research
The Risk Assessment Data Repository (RADR) is a powerful risk analytics platform used to enhance productivity in the investigation of fraud, waste and abuse. This server-based, data analytics product fuses data from…Continue
Added by Paul Derstine on October 17, 2019 at 5:01am — No Comments
This topic combines two of the most difficult or least understood ML techniques and challenges. Fraud detection invariably falls short of complete automatic detection because of the false positive rate and the need for at least some human intervention, typically on a case-by-case basis. Deep Learning, one of the most far flung borders of ML research utilizing neural net architecture but unsupervised model development.
Our friends at H2O University…Continue