Method and system for self-organizing ad-hoc workflow

An apparatus comprising:

• a memory;
• and
• a processing device, coupled to the memory, to:
• receive training data including a set of input parameters, multiple groups of values for the set of input parameters, and process workflows associated with individual groups of values;
• determine an importance weight for an input parameter in the set of input parameters by applying a machine learning algorithm to the training data;
• receive additional training data;
• and
• update the importance weight by applying machine learning to the additional training data.

A non-transitory computer readable storage medium including instructions that, when executed by a processing device, cause the computing device to perform a method comprising:

• receiving, by a processing device, training data including a set of input parameters, multiple groups of values for the set of input parameters, and process workflows associated with individual groups of values;
• determining an importance weight for an input parameter in the set of input parameters by applying a machine learning algorithm to the training data;
• receiving additional training data;
• and
• updating the importance weight by applying machine learning to the additional training data.