CPC G06F 16/285 (2019.01) [G06F 21/6245 (2013.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A method for synthetic data generation, the method comprising:
receiving a request for synthetic data generation, the request for synthetic data generation comprising one or more configuration data parameters;
determining a match level, wherein the match level describes a percent match between the one or more configuration data parameters and one or more base datasets;
selecting a processing model from amongst a plurality of processing models based upon the determined match level, wherein selection of the processing model based on the determined match level comprises selecting a machine learning generation model in an instance in which the match level exceeds a predefined threshold percentage and selecting a rules-based generation model in an instance in which the match level does not exceed the predefined threshold percentage;
generating one or more synthetic datasets comprising one or more synthetic data values via the selected processing model; and
providing, to a user via a user interface, the one or more generated synthetic datasets.
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