Methods and apparatus for detecting anomalies in electronic data

A method to detect anomalies in electronic data, the method comprising:

• generating a signature of context information for electronic transactions;
• querying a memorybase of previously received electronic transactions to identify a first entity associated with a subset of historical transactions that are associated with the signature, wherein the memorybase is an associative memorybase and includes a first application programming interface to serve queries for connections and a second application programming interface to serve queries for analogies;
• querying the memorybase to generate a neighborhood for the first entity;
• determining a target category value for entities included in the neighborhood;
• determining a score for the first entity based on the target category value;
• and
• presenting an alert indicating that the first entity is anomalous based on the score.

A non-transitory machine readable storage medium comprising instructions that, when executed, cause a machine to at least:

• generate a signature of context information for electronic transactions;
• query a memorybase of previously received electronic transactions to identify a first entity associated with a subset of historical transactions that are associated with the signature, wherein the memorybase is an associative memorybase and includes a first application programming interface to serve queries for connections and a second application programming interface to serve queries for analogies;
• query the memorybase to generate a neighborhood for the first entity;
• determine a target category value for entities included in the neighborhood;
• determine a score for the first entity based on the target category value;
• and
• present an alert indicating that the first entity is anomalous based on the score.