Publication | Closed Access
ReAct: A System for Recommending Actions for Rapid Resolution of IT Service Incidents
10
Citations
14
References
2016
Year
Unknown Venue
Software MaintenanceEngineeringComputer AnalysisHistorical Ticket DataService MonitoringEvent CorrelationSemantic WebAction LanguageIt Service IncidentsText MiningInformation RetrievalData ScienceData MiningComplex Event ProcessingManagementSystems EngineeringService AgentsData ManagementIncident ManagementPredictive AnalyticsKnowledge DiscoveryComputer ScienceInformation ManagementActionable AnalyticsRapid ResolutionEvent-driven MonitoringPossible Action Sequence
In this paper, we present a system called ReAct which, given a problem/incident description, helps the service agents to easily identify set of actions and the possible action sequence to resolve the issue mentioned in the ticket. Th eframework uses unstructured text analysis on historical ticket data to find the next best action steps and uses visualization to help user choose the most suitable option.
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