A Data Mining Approach to Detecting Bias and Favoritism in Public Procurement-Reference-Cited by-同舟云学术

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A Data Mining Approach to Detecting Bias and Favoritism in Public Procurement

Published:2023 Issue:3 Volume:36 Page:3501-3516
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Torres-Berru Yeferson,F. Lopez-Batista Vivian,Conde Zhingre Lorena

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v36n3/51926/pdf

Reference43 articles.

1. Government expenditure and economic growth: Does the role of corruption control matter?;Thi Nguyen;Heiyon,2022

2. Anomaly detection in public procurements using the open contracting data standard;Kehler,2019

3. Servicio Nacional de Contratación Pública, “Rendición de cuentas,” SERCOP, Quito, Ecuador, 2018.

4. Detecting high risk taxpayers using data mining techniques;Rad,2017

5. A survey on sentiment analysis challenges;Hussein;Journal of King Saud University-Engineering Sciences,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Artificial Intelligence and Public Procurement;2024 IEEE 15th International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA);2024-05-02

2. Text mining and network analytics for literature reviews: Exploring the landscape of purchasing and supply management research;Journal of Purchasing and Supply Management;2023-12

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