Machine learning in incident categorization automation

dc.contributor.authorSilva, S.
dc.contributor.authorPereira, R.
dc.contributor.authorRibeiro, R.
dc.date.accessioned2018-07-16T15:58:47Z
dc.date.available2018-07-16T15:58:47Z
dc.date.issued2018
dc.date.updated2018-07-16T15:58:05Z
dc.description.abstractIT incident management process requires a correct categorization to attribute incident tickets to the right resolution group and obtain an operational system as quickly as possible, having the lowest possible impact on the business and costumers. In this work, we introduce a module to automatically categorize incident tickets, turning the responsible teams for incident management more productive. This module can be integrated as an extension into an incident ticket system (ITS), which contributes to reduce the time wasted on incident ticket route and reduce the amount of errors on incident categorization. To automate the classification, we use a support vector machine (SVM), obtaining an accuracy of 89%, approximately, on a dataset of real-world incident tickets.por
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.identifier.doi10.23919/CISTI.2018.8399244
dc.identifier.isbn978-989-98434-8-6
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-48772
dc.identifier.urihttp://hdl.handle.net/10071/16403
dc.journal13th Iberian Conference on Information Systems and Technologies (CISTI)en_US
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.relationUID/MULTI/0446/2013por
dc.rightsopen accesspor
dc.subjectMachine learningpor
dc.subjectAutomated incident categorizationpor
dc.subjectSVMpor
dc.subjectIncident managementpor
dc.subjectIncident management processpor
dc.subjectCategorizationpor
dc.titleMachine learning in incident categorization automationpor
dc.typeconferenceObjectpor
degois.publication.locationCácerespor
degois.publication.title13th Iberian Conference on Information Systems and Technologies (CISTI)por
dspace.entity.typePublicationen

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