RankXGB-Based Enterprise Credit Scoring by Electricity Consumption in Edge Computing Environment-Reference-Cited by-同舟云学术

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RankXGB-Based Enterprise Credit Scoring by Electricity Consumption in Edge Computing Environment

Published:2023 Issue:1 Volume:75 Page:197-217
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Shen Qiuying,Zhang Wentao,Song Mofei

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v75n1/51535/pdf

Reference70 articles.

1. Edge computing and blockchain in enterprise performance and venture capital management;Wang;Computational Intelligence and Neuroscience,2022

2. Statistical and machine learning models in credit scoring: A systematic literature survey;Dastile;Applied Soft Computing,2020

3. A benchmark of machine learning approaches for credit score prediction;Moscato;Expert Systems with Applications,2021

4. Electricity consumption and economic growth in China: Cointegration and co-feature analysis;Yuan;Energy Economics,2007

5. Revisiting electricity consumption, price, and real GDP: A modified sectoral level analysis from Pakistan;Abbasi;Energy Policy,2021

Cited by 1 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. XGBoost-B-GHM: An Ensemble Model with Feature Selection and GHM Loss Function Optimization for Credit Scoring;Systems;2024-07-14

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