Analytical system for discovery and generation of rules to predict and detect anomalies in data and financial fraud

摘要

Methods and computer apparatus are disclosed for deriving first order logic language rules for use in analyzing new data to identify anomalies in the new data. Historical data is formatted to be in a form suitable for application of a machine-learning algorithm thereto. The machine-learning algorithm is applied to the formatted historical data to generate a set of first order logic language rules that cover the formatted historical data. The set of first order logic language rules are analyzed to obtain a subset of said set of first order logic language rules which can be used as first order logic language rules in analyzing new data.