Improving the Prediction of Project Success in the Telecom Sector by Means of Advanced Data Balancing-Reference-Cited by-同舟云学术

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Improving the Prediction of Project Success in the Telecom Sector by Means of Advanced Data Balancing

Published:2022-02-01 Issue:3 Volume:54 Page:306-320
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Basurto Nuño¹,Jiménez Alfredo²,Bayraktar Secil³,Herrero Álvaro¹

Affiliation:

1. Departamento de Ingeniería Informática, Grupo de Inteligencia Computacional Aplicada (GICAP), Universidad de Burgos, Burgos, Spain

2. Department of Management, KEDGE Business School, Bordeaux, France

3. Department of Human Resources Management and Business Law, TBS Business School, Toulouse, France

Funder

Nuño Basurto at KEDGE Business School in Bordeaux

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2022.2030007

Reference36 articles.

1. Data Balancing to Improve Prediction of Project Success in the Telecom Sector

2. A training algorithm for optimal margin classifiers

3. DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

4. SMOTE: Synthetic Minority Over-sampling Technique

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