| CPC G06Q 20/4016 (2013.01) [G06Q 20/40145 (2013.01)] | 20 Claims |
|
1. A method comprising:
receiving, at an ingestion engine, raw transaction data from a plurality of heterogeneous data sources for a first user, the raw transaction data including transaction data recorded at different dates;
using the ingestion engine to produce structured object data for an object, the structured object data derived from the raw transaction data;
applying a classification service to produce a partial fingerprint from the structured object data wherein the partial fingerprint comprises a plurality of attributes and wherein the classification service applies a machine learning process to classify the structured object data based at least in part on the plurality of attributes;
applying a fingerprinting process to the partial fingerprint to produce a full fingerprint for the structured object data, the full fingerprint having financial attributes;
applying an enrichment engine to add data to the full fingerprint to produce an enriched fingerprint for the structured object data, wherein applying the enrichment engine comprises applying a network engine to the full fingerprint to determine a network score for the enriched fingerprint, the network score based at least in part on trust network data, wherein the trust network data comprises anonymized fingerprint data for a plurality of objects, the anonymized fingerprint data from a plurality of other users; and
applying a verdict engine to determine a verdict on the object based at least in part on the financial attributes of the enriched fingerprint for the structured object data.
|