US 2021/0241279 A1 · AUTOMATIC FRAUD DETECTION

Abstract

Embodiments provide a computer implemented method, including: ingesting, by the processor, a data file including financial transaction data; generating, by the processor, a schema from the financial transaction data; identifying, by the processor, a data type of each data field in the schema; performing, by the processor, feature selection to select a plurality of data fields from the schema; performing, by the processor, data sampling to select candidate rows of the schema based on the selected data fields; clustering, by the processor, the sampled data to different categories; selecting, by the processor, a set of analytical models for risk prediction, wherein each analytical model corresponds to a data type of each selected data field, and each analytical model generates a risk score; and generating, by the processor, a single risk score indicating the fraud risk by combining all the risk scores generated by the set of analytical models.

Claims20

Dependent claims

A computer implemented method, in a data processing system comprising a processor and a memory comprising instructions which are executed by the processor to cause the processor to implement an automatic fraud detection system for identifying a fraud risk, the method comprising:

ingesting, by the processor, a data file including financial transaction data;
generating, by the processor, a schema from the financial transaction data;
identifying, by the processor, a data type of each data field in the schema;
performing, by the processor, feature selection to select a plurality of data fields from the schema;
performing, by the processor, data sampling to select candidate rows of the schema based on the selected data fields;
clustering, by the processor, the sampled data into different categories;
selecting, by the processor, a set of analytical models for risk prediction, wherein each analytical model corresponds to a data type of each selected data field, and each analytical model generates a risk score;
and
generating, by the processor, a single risk score indicating the fraud risk by combining all the risk scores generated by the set of analytical models.

6 more elements

A computer program product for automatic fraud detection, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

ingest a data file including financial transaction data;
generate a schema from the financial transaction data;
identify a data type of each data field in the schema;
perform feature selection to select a plurality of data fields from the schema;
perform data sampling to select candidate rows of the schema based on the selected data fields;
cluster the sampled data into different categories;
select a set of analytical models for risk prediction, wherein each analytical model corresponds to a data type of each selected data field, and each analytical model generates a risk score;
and
generate a single risk score indicating the fraud risk by combining all the risk scores generated by the set of analytical models.

6 more elements

Dependencies are inferred from the claim text.

Automatic fraud detection

Life of this patent

Automatic fraud detection

Life of this patent

Abstract

Claims20