Regression and decision tree approaches in predicting the effort in resolving incidents
Year of publication: |
2022
|
---|---|
Authors: | Christa, Sharon ; Suma, V. ; Mohan, Uma |
Published in: |
International journal of business information systems : IJBIS. - [Olney, Bucks.] : Inderscience Enterprises, ISSN 1746-0980, ZDB-ID 2436031-4. - Vol. 39.2022, 3, p. 379-399
|
Subject: | decision tree | effort prediction | incident logs | incident management | ITIL | multiple linear regression | production support | random forest | tickets | time to resolve | Entscheidungsbaum | Decision tree | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Theorie | Theory |
-
A novel model structured on predictive churn methods in a banking organization
Silveira, Leonardo José, (2021)
-
Comparative analysis of methods for prediction continuous numerical features on big datasets
Kinshakov, Eduard, (2021)
-
Design of data scoring model for big data
Dash, Ranjan Kumar, (2020)
- More ...
-
A systematic analysis of defects, incidents, tickets and service effort estimation
Christa, Sharon, (2021)
-
Suma, V., (2010)
-
Nair, T. R. Gopalakrishnan, (2012)
- More ...