In situ and network-based transaction classifying systems and methods

A method comprising:

• generating, on a computer processor, a model from patterns identified in normal and fraudulent transaction data, each pattern including a classification value that contributes to a transaction classification value indicating a likelihood of fraud in a given transaction;
• applying, by the computer processor, the model to a current transaction to obtain classification values to calculate a transaction classification value indicating a likelihood of fraud in the current transaction;
• and
• outputting, from the computer processor, the score as an indicator of potential fraud.

A point-of-sale (POS) system comprising:

• a computer processor;
• and
• a memory device storing instructions executable by the processor to perform data processing activities comprising:
• applying, by the computer processor, a model to a current transaction to obtain classification values to calculate a transaction classification value indicating a likelihood of fraud in the current transaction, the model including data representations of patterns in normal and fraudulent transaction data, each pattern including a classification value that contributes to a transaction classification value indicating a likelihood of fraud in a given transaction;
• and
• interrupting, by the computer processor, operation of the POS system when a transaction classification value exceeds a threshold indicating a likelihood of fraud.