Graph-to-signal domain based data interconnection classification system and method

A computing apparatus for performing a projected graph based prediction, the computing apparatus comprising:

• a processor;
• a memory;
• and
• a communication interface coupled to each of the processor and the memory,
• wherein the processor is configured to:
• obtain, via a network, a plurality of data from a plurality of servers;
• determine, based on the obtained data, a plurality of data entities and a plurality of dataflows between the data entities;
• generate a first graph including the data entities as nodes and the dataflows between the nodes;
• identify a plurality of data concepts based on the obtained data;
• insert onto the first graph, the identified data concepts to provide a second graph;
• apply a graph projection on the second graph to generate a sub-graph;
• and
• determine, using a prediction algorithm via a plurality of machine learning models, a predicted dataflow between at least two nodes connected to a target data concept in the sub-graph.

A non-transitory computer readable storage medium that stores a computer program for performing a projected graph based prediction, the computer program, when executed by a processor, causing a system to perform a process comprising:

• obtaining, via a network, a plurality of data from a plurality of servers;
• determining, based on the obtained data, a plurality of data entities and a plurality of dataflows between the data entities;
• generating a first graph including the data entities as nodes and the dataflows between the nodes:
• identifying a plurality of data concepts based on the obtained data;
• inserting, onto the first graph, the identified data concepts to provide a second graph;
• applying a graph projection on the second graph to generate a sub-graph;
• and
• determining, using a prediction algorithm via a plurality of machine learning models, a predicted dataflow between at least two nodes connected to a target data concept in the sub-graph.