4 datasets found

The dataset used in this paper is a large-scale dataset for automatic detection of cash-out fraud, with more than 100 million training samples.

Return-freight insurance dataset, containing accounts that have filed a claim over the past months, with device UMIDs used by these accounts in the past 40 days as graph nodes.

The Credit Card Fraud Detection Dataset contains transactions made by credit cards in September 2013 by European cardholders.

UMDWikipedia dataset contains information of around 770K edits from Jan 2013 to July 2014 (19 months) with 17105 vandals and 17105 benign users.