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

机译:用于发现和生成规则以预测和检测数据和财务欺诈异常的分析系统

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.
机译:公开了用于导出用于分析新数据以识别新数据中的异常的一阶逻辑语言规则的方法和计算机设备。历史数据被格式化为适合于对其应用机器学习算法的形式。机器学习算法应用于格式化的历史数据,以生成覆盖格式化的历史数据的一组一阶逻辑语言规则。分析该组一阶逻辑语言规则,以获得该组一阶逻辑语言规则的子集,该子集可用作分析新数据时的一阶逻辑语言规则。

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