Patent ID: 11921697
Assignee: FRAUD.NET, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A system comprising:
an input stage to receive one or more input data records; and
a controller, implementing one or more learning engines, in communication with a memory device to store programmable instructions, to:
convert a set of data values comprising a multi-field record into a first graph representation of the multi-field record, with the first graph representation comprising nodes and edges, wherein the controller configured to convert the set of data values representative of the multi-field record is configured, for each of the data values comprising the multi-field record, to transform that data value from a 1-dimensional space into a respective multi-dimensional vector of a plurality of multi-dimensional vectors, wherein the controller configured to transform that value from a 1-dimensional space is configured to use a corresponding trained multi-layer perceptron of a plurality of multi-layer perceptrons used to transform data values of the multi-field record, wherein each multi-dimensional vector of the plurality of multi-dimensional vectors corresponds to a respective one of the nodes of the first graph representation representing both feature information for respective data values of the multi-field record and a relationship of the respective one of the nodes to other of the nodes in the first graph representation;
apply a machine learning graph convolution process to the first graph representation of the multi-field record to generate a transformed graph representation for the multi-field record comprising a resultant transformed configuration of resultant transformed nodes and edges that organizes the resultant transformed nodes and edges according to relevance or anomality of the nodes and edges of the first graph representation of the multi-field record; and
determine, based on the resultant transformed configuration of the resultant transformed nodes and edges, a probability that the multi-field record is anomalous.