Rules and machine learning to provide regulatory complied fraud detection systems
AssigneeInternational Business Machines Corporation
InventorsYi-Hui Ma, Willie Robert Patten, JR.
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Abstract
An approach is provided that receives data sets pertaining to entities. The received data sets are analyzed using a trained artificial intelligence (AI) system, with the analysis results in a fraud probability level. In response to the probability level indicating a high probability of fraud, a rule-based decision tree is applied to the received set of data. A behavior pattern is identified based on a result of the rule-based decision tree and this behavior pattern is used to identify a possible fraudulent event pertaining one of the entities.
Claims20
A method implemented by an information handling system that includes a processor and a memory accessible by the processor, the method comprising:
- receiving one or more sets of data pertaining to a plurality of entities;
- analyzing the received sets of data using a trained artificial intelligence (AI) system, wherein the analysis results in a fraud probability level;
- applying a rule-based decision tree to the received set of data based on the resulting fraud probability level;
- identifying a pattern based on a result of the rule-based decision tree;
- and
- detecting a possible fraudulent event pertaining to a behavior pattern corresponding to a selected one of the plurality of entities.
An information handling system comprising:
- one or more processors;
- a memory coupled to at least one of the processors;
- and
- a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions comprising:
- receiving one or more sets of data pertaining to a plurality of entities;
- analyzing the received sets of data using a trained artificial intelligence (AI) system, wherein the analysis results in a fraud probability level;
- applying a rule-based decision tree to the received set of data based on the resulting fraud probability level;
- identifying a pattern based on a result of the rule-based decision tree;
- and
- detecting a possible fraudulent event pertaining to a behavior pattern corresponding to a selected one of the plurality of entities.
A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, performs actions comprising:
- receiving one or more sets of data pertaining to a plurality of entities;
- analyzing the received sets of data using a trained artificial intelligence (AI) system, wherein the analysis results in a fraud probability level;
- applying a rule-based decision tree to the received set of data based on the resulting fraud probability level;
- identifying a pattern based on a result of the rule-based decision tree;
- and
- detecting a possible fraudulent event pertaining to a behavior pattern corresponding to a selected one of the plurality of entities.
Dependencies are inferred from the claim text.