Generating asset level classifications using machine learning

A system, comprising:

• a processor;
• and
• a memory containing a program which when executed by the processor performs an operation comprising:
• receiving a plurality of assets from a data catalog and a respective plurality of classifications applied to each asset in the data catalog;
• extracting, for a plurality of features, feature data from the plurality of assets and the plurality of asset classifications;
• generating a feature vector based on the extracted feature data;
• and
• generating, by a machine learning (ML) algorithm and based on the feature vector, a first classification rule specifying a condition for applying a first classification of the plurality of classifications to a first asset of the plurality of assets.

A computer program product, comprising:

• a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising:
• receiving a plurality of assets from a data catalog and a respective plurality of classifications applied to each asset in the data catalog;
• extracting, for a plurality of features, feature data from the plurality of assets and the plurality of asset classifications;
• generating a feature vector based on the extracted feature data;
• and
• generating, by a machine learning (ML) algorithm and based on the feature vector, a first classification rule specifying a condition for applying a first classification of the plurality of classifications to a first asset of the plurality of assets.