A Study on RB-XGBoost Algorithm-Based e-Commerce Credit Risk Assessment Model
Author:
Affiliation:
1. Jiangsu Vocational Institute of Commerce, Nanjing, Jiangsu 211168, China
2. Southeast University, Nanjing, 211189 Jiangsu, China
Abstract
Funder
Qing Lan Project
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Link
http://downloads.hindawi.com/journals/js/2021/7066304.pdf
Reference24 articles.
1. TPGN: A Time-Preference Gate Network for e-commerce purchase intention recognition
2. Open Source Software as the Main Driver for Evolving Software Systems Toward a Distributed and Performant E-Commerce Platform: A Zalando Fashion Store Case Study
3. E-commerce credit risk assessment based on rough set and support vector regression;J. Wu;Statistics and Decision,2019
4. An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise
5. Research on E-commerce customer churn prediction based on improved value model and XG-boost algorithm;Y. Zhuang;Management Science and Engineering,2018
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4. E-Commerce Credit Evaluation Method Based on Bayesian Algorithm;Lecture Notes on Data Engineering and Communications Technologies;2023
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