3. The computer based system according to claim 1 , wherein the incomplete data set is at least one case log that contains one or more user constraints that relate to one or more user requirements.
1. A computer based system that identifies one or more workflows for a print process, comprising: an intake component that receives an incomplete data set from one or more sources, wherein the incomplete data set is related to a production workflow for a print process; a case classification and recommendation component that maps the incomplete data set into a case log vector in a case constraint space, utilizes a latent semantic index transformation to map the case log vector into a semantic vector with reduced dimensionality, classifies the semantic vector into an existing case cluster whose cluster centroid vector has the largest cosine product with the semantic vector, and returns one or more representative workflows of the existing case cluster as one or more recommended workflow solutions; at least one predefined cluster that is created by mapping previously collected data into one or more data vectors, mapping the one or more data vectors into one or more semantic data vectors and clustering the one or more semantic data vectors into at least one group based at least in part upon one or more mutual correlations, wherein the each of the at least one cluster is associated with at least one solution; and an online recommendation system that provides one or more solutions via correlation of the incomplete data set to one or more predefined data clusters, wherein the solution is a workflow that completely defines a print process automated by at least one automation device.