Inventors:
Russell E. Cunningham - Austin TX, US
Jason W. Hayes - Universal City TX, US
Satish K. Rao - Austin TX, US
Assignee:
IBM Corporation - Armonk NY
International Classification:
G06Q 10/00, G06F 15/18, G06N 3/08, G06N 5/02
US Classification:
705304, 706 12, 706 52, 706 25
Abstract:
The likelihood of a problem report being escalated to a critical status in a customer service environment is predicted by receiving historical Problem Management Records for which associated problems have been resolved and final criticality statuses have been determined, analyzing the historical Problem Management Records using at least one trainable data mining process to produce a prediction output for each historical Problem Management Record, validating the prediction output against the final criticality statuses, training the data mining process according to the validation, and, subsequently, analyzing an unresolved Problem Management Record by the trained analysis module to produce a prediction indicator and a confidence indicator for unresolved Problem Management Record to be re-classified as critical status. The unresolved Problem Management Record is escalated to critical status level responsive to the prediction indicator and the confidence indicator exceeding a predetermined threshold.