撤回: Neeraj Kumar, Upendra Kumar. 基于人工智能的分类和回归树特征选择方法,用于各种电信技术中的网络入侵检测系统。 Comput Intell 40: e12500, 2024 (10.1111/coin.12500)

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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引用次数: 0

摘要

上述文章于 2022 年 1 月 10 日在线发表于 Wiley Online Library (wileyonlinelibrary.com),经主编 Diana Inkpen 和 Wiley Periodicals LLC 协议,该文章已被撤回。这篇文章是作为客座编辑特刊的一部分发表的。文章发表后,我们注意到有两个被指定为本期特邀编辑的人被一个欺诈实体冒充和/或歪曲。出版商调查后发现,包括本期在内的所有文章在编辑处理和同行评审过程中都受到了损害,这不符合期刊的道德标准。因此,决定撤回这篇文章。撤稿决定已通知作者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retraction: Neeraj Kumar, Upendra Kumar. Artificial intelligence for classification and regression tree based feature selection method for network intrusion detection system in various telecommunication technologies. Comput Intell 40: e12500, 2024 (10.1111/coin.12500)

The above article, published online on 10 January 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Diana Inkpen, and Wiley Periodicals LLC. The article was published as part of a guest-edited special issue. Following publication, it came to our attention that two of those named as Guest Editors of this issue were being impersonated and/or misrepresented by a fraudulent entity. An investigation by the publisher found that all of the articles, including this one, experienced compromised editorial handling and peer review which was not in line with the journal's ethical standards. Therefore, a decision has been made to retract this article. The authors have been informed of the decision to retract.

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来源期刊
Computational Intelligence
Computational Intelligence 工程技术-计算机:人工智能
CiteScore
6.90
自引率
3.60%
发文量
65
审稿时长
>12 weeks
期刊介绍: This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.
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