基于人工智能的高校教育系统数据驱动决策模型

IF 3.4 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems Pub Date : 2024-12-09 DOI:10.1111/exsy.13810
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引用次数: 0

摘要

引用本文:滕勇,张军,孙涛,“基于人工智能的高等教育系统数据驱动决策模型”,《专家系统》第40期。4 (2023): e12820, https://doi.org/10.1111/exsy.12820。上述文章于2022年1月31日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经期刊主编David Camacho;约翰·威利&;子有限公司这篇文章是作为嘉宾编辑的特刊的一部分提交的。由于本文中的预测模型和算法描述不足,并且使用的数据集不详细,因此已同意撤回。此外,这篇文章没有按照该杂志的同行评议标准进行评审。
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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RETRACTION: Data-driven Decision-making Model Based on Artificial Intelligence in Higher Education System of Colleges and Universities

RETRACTION: Y. Teng, J. Zhang, T. Sun, “ Data-driven Decision-making Model Based on Artificial Intelligence in Higher Education System of Colleges and Universities,” Expert Systems 40, no. 4 (2023): e12820, https://doi.org/10.1111/exsy.12820.

The above article, published online on 31 January 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. The retraction has been agreed on as the predictive models and algorithms in this manuscript are insufficiently described, and the dataset used is not detailed. Furthermore, the article was not reviewed in line with the journal's peer review standards.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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