A machine learning study to improve the reliability of project cost estimates
| Year of publication: |
2024
|
|---|---|
| Authors: | Narbaev, Timur ; Hazir, Öncü ; Khamitova, Balzhan ; Talgat, Sayazhan |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 12, p. 4372-4388
|
| Subject: | Cost forecasting | earned value management | machine learning | non-linear growth model | project monitoring and control | The XGBoost model | Künstliche Intelligenz | Artificial intelligence | Projektmanagement | Project management | Prognoseverfahren | Forecasting model | Kostenmanagement | Cost management |
-
Kim, Byung-Cheol, (2015)
-
Forecasting software development costs in scrum iterations using ordinary least squares method
Kharchenko, Kostyantyn, (2024)
-
Exploring project manager commitment using machine learning on fuzzy big data
Strang, Kenneth David, (2025)
- More ...
-
Narbaev, Timur, (2022)
-
An earned schedule-based regression model to improve cost estimate at completion
Narbaev, Timur, (2014)
-
The formation and management of public-private partnerships in Kazakhstan
Charman, Ken, (2017)
- More ...