A nearest neighbour extension to project duration forecasting with artificial intelligence
type: Item
instance of: scholarly article
title: A nearest neighbour extension to project duration forecasting with artificial intelligence
zbMATH Open document ID: 1403.68247
author: Mathieu Wauters
author: Mario Vanhoucke
published in: European Journal of Operational Research
publication date: 2018-05-25T00:00:00Z
Mathematics Subject Classification ID: 68T20
zbMATH DE Number: 6873662
zbMATH Keywords: project management
zbMATH Keywords: earned value management (EVM)
zbMATH Keywords: prediction
zbMATH Keywords: artificial intelligence
describes a project that uses: e1071
describes a project that uses: gbm
describes a project that uses: C4.5
describes a project that uses: FNN
describes a project that uses: R
describes a project that uses: RanGen
MaRDI profile type: Publication
full work available at URL: j.ejor.2016.11.018
OpenAlex ID: W2554894595
cites work: Developing activity duration specification limits for effective project control
cites work: Bagging predictors
cites work: Q3327527
cites work: Support-vector networks
cites work: Nearest neighbor pattern classification
cites work: Rangen: A random network generator for activity-on-the-node networks
cites work: Greedy function approximation: A gradient boosting machine.
cites work: Principal component analysis.
cites work: Critical-Path Planning and Scheduling: Mathematical Basis
cites work: Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review
cites work: Problems in the Analysis of Survey Data, and a Proposal
cites work: Forecasting with cue information: a comparison of multiple regression with alternative forecasting approaches
cites work: Optimal timing of project control points
cites work: Measuring time. Improving project performance using earned value management
cites work: An evaluation of the adequacy of project network generators with systematically sampled networks
cites work: A simulation and evaluation of earned value metrics to forecast the project duration
DOI: 10.1016/J.EJOR.2016.11.018
description: scientific article; zbMATH DE number 6873662