An Empirical Analysis of State-of-Art Classification Models in an IT Incident Severity Prediction Framework

An Empirical Analysis of State-of-Art Classification Models in an IT Incident Severity Prediction Framework

Large-scale companies across various sectors maintain substantial IT infrastructure to support their operations and provide quality services for their customers and employees. These IT operations are managed by teams who deal directly with incident reports (i.e., those generated automatically throug...

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Bibliographic Details
Main Authors: Salman Ahmed, Muskaan Singh, Brendan Doherty, Effirul Ramlan, Kathryn Harkin, Magda Bucholc, Damien Coyle
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
IT incidents
risk prediction
dataset imbalance
IT service management (ITSM)
Information Technology Infrastructure Library (ITIL)
artificial intelligence for IT operations (AIOps)
Online Access:https://www.mdpi.com/2076-3417/13/6/3843

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https://www.mdpi.com/2076-3417/13/6/3843

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