Self-improving bayesian network learning

A computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more computer-readable tangible storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• receiving input data, wherein the input data contains a full dataset;
• building, asynchronously, one or more Bayesian network models using one or more portions of the full dataset on a first pipeline and building a free learning model using the full dataset on a second pipeline;
• retrieving the one or more Bayesian network models from the first pipeline;
• and
• retrieving the free learning model from the second pipeline.

A computer program product comprising:

• one or more computer-readable tangible storage media and program instructions stored on at least one of the one or more computer-readable tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
• receiving input data, wherein the input data contains a full dataset;
• building, asynchronously, one or more Bayesian network models using one or more portions of the full dataset on a first pipeline and building a free learning model using the full dataset on a second pipeline;
• retrieving the one or more Bayesian network models from the first pipeline;
• and
• retrieving the free learning model from the second pipeline.