A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks-Reference-Cited by-同舟云学术

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A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks

Published:2024-06 Issue:2 Volume:315 Page:511-527
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Ünsal-Altuncan Izel^ORCID,Vanhoucke Mario^ORCID

Publisher

Elsevier BV

Reference73 articles.

1. Forecasting social CRM adoption in SMEs: A combined SEM-neural network method;Ahani;Computers in Human Behavior,2017

2. A k-nearest neighbours based ensemble via optimal model selection for regression;Ali;IEEE Access,2020

3. Earned value project management method and extensions;Anbari;Project Management Journal,2003

4. Earned schedule min-max: Two new EVM metrics for monitoring and t controlling projects;Ballesteros-Pérez;Automation in Construction,2019

5. Construction and evaluation framework for a real-life project database;Batselier;International Journal of Project Management,2015

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