Online banking fraud occurs whenever a criminal can seize accounts and transfer funds from an individual's online bank account. Successfully preventing this requires the detection of as many fraudsters as possible, without producing too many false alarms. This is a challenge for machine learning...

Using a big data set of venture capital financing and related startup firms from Crunchbase, this paper develops a machine-learning model called CapitalVX (for "Capital Venture eXchange") to predict the outcomes for startups, i.e., whether they will exit successfully through an IPO or...

Purpose This study aims to compare machine learning models, datasets and splitting training-testing using data mining methods to detect financial statement fraud. Design/methodology/approach This study uses a quantitative approach from secondary data on the financial reports of companies listed...