基于高维不平衡数据的集成机器学习和dea预定义性能结果预测框架

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Infor Pub Date : 2023-01-23 DOI:10.1080/03155986.2023.2168943

Yu Shi, Wei-wei Zhao

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data

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来源期刊

Infor 管理科学-计算机：信息系统

CiteScore

2.60

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.