3. The method of claim 1 , wherein said grouping the generated digital fingerprints into one or more event classification sets comprises: associating two or more of the generated digital fingerprints within a fault event set in response, at least in part, to, determining a correspondence among the two or more generated digital fingerprints based, at least in part, on the identities of the two or more nodes; and for each of the two or more generated digital fingerprints, determining a pattern matching correlation between the generated digital fingerprint and the classifier digital fingerprints; and determining a pattern matching correlation between the generated digital fingerprint and the other of the at least two generated digital fingerprints.
4. The method of claim 3 , wherein the two or more generated digital fingerprints are generated from transaction event entries that include serial transaction data associated with the two or more nodes, said associating the two or more digital fingerprints into a fault event set further comprising: comparatively processing a series of the transaction event entries to determine an activity divergence event; and in response to detecting an activity divergence event associated with a next transaction event entry, excluding a digital fingerprint generated for the next transaction event entry from the fault event set.