Name
Title | ||
|---|---|---|
A Nearest Neighbour extension to project duration forecasting with Artificial Intelligence. |
Abstract | ||
|---|---|---|
•We provide a Nearest Neighbour extension for project duration forecasting.•The technique is employed as a predictor and to hybridize existing methods.•The performance of both Nearest Neighbour purposes is assessed.•We report on the stability of Artificial Intelligence prediction methods.•An incentive for future research is given by means of a Utopian scenario. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ejor.2016.11.018 | European Journal of Operational Research |
Keywords | Field | DocType |
Project management,Earned Value Management (EVM),Prediction,Artificial Intelligence | Training set,Data mining,Duration (project management),Computer experiment,Nearest neighbour,Project control,Earned value management,Artificial intelligence,Machine learning,Mathematics,Test set,Project management | Journal |
Volume | Issue | ISSN |
259 | 3 | 0377-2217 |
Citations | PageRank | References |
2 | 0.36 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathieu Wauters | 1 | 11 | 1.27 |
| M Vanhoucke | 2 | 919 | 55.85 |