特邀编辑:保障金融安全的大数据和计算社会智能特刊

IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS IEEE Transactions on Computational Social Systems Pub Date : 2024-04-02 DOI:10.1109/TCSS.2024.3373929
Changjun Jiang;Fei-Yue Wang;Mengchu Zhou;Asoke K. Nandi;Guanjun Liu
{"title":"特邀编辑:保障金融安全的大数据和计算社会智能特刊","authors":"Changjun Jiang;Fei-Yue Wang;Mengchu Zhou;Asoke K. Nandi;Guanjun Liu","doi":"10.1109/TCSS.2024.3373929","DOIUrl":null,"url":null,"abstract":"The innovations in technologies have led to the emergence of digital finance such as online payment, online insurance, online lending, and supply chain finance. Digital finance has greatly facilitated people’s lives, accelerated the circulation of capital in various fields, and enhanced the vitality of financial markets. However, it exposes many increasing risks and hidden dangers such as stock volatility, trading fraud, credit card fraud, and privacy leakage \n<xref>[1]</xref>\n, \n<xref>[2]</xref>\n, \n<xref>[3]</xref>\n, \n<xref>[4]</xref>\n, \n<xref>[5]</xref>\n, \n<xref>[6]</xref>\n, \n<xref>[7]</xref>\n. How to effectively calculate, control, manage, and utilize financial big data and make full use of artificial intelligence technology to ensure financial security is an important research question. Solving it faces many challenges. These challenges not only include the complexity of data and computation but also the effectiveness of intelligent optimization algorithms and ways to deal with human behaviors and social environments \n<xref>[8]</xref>\n, \n<xref>[9]</xref>\n.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":"11 2","pages":"1551-1555"},"PeriodicalIF":4.5000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488826","citationCount":"0","resultStr":"{\"title\":\"Guest Editorial: Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security\",\"authors\":\"Changjun Jiang;Fei-Yue Wang;Mengchu Zhou;Asoke K. Nandi;Guanjun Liu\",\"doi\":\"10.1109/TCSS.2024.3373929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The innovations in technologies have led to the emergence of digital finance such as online payment, online insurance, online lending, and supply chain finance. Digital finance has greatly facilitated people’s lives, accelerated the circulation of capital in various fields, and enhanced the vitality of financial markets. However, it exposes many increasing risks and hidden dangers such as stock volatility, trading fraud, credit card fraud, and privacy leakage \\n<xref>[1]</xref>\\n, \\n<xref>[2]</xref>\\n, \\n<xref>[3]</xref>\\n, \\n<xref>[4]</xref>\\n, \\n<xref>[5]</xref>\\n, \\n<xref>[6]</xref>\\n, \\n<xref>[7]</xref>\\n. How to effectively calculate, control, manage, and utilize financial big data and make full use of artificial intelligence technology to ensure financial security is an important research question. Solving it faces many challenges. These challenges not only include the complexity of data and computation but also the effectiveness of intelligent optimization algorithms and ways to deal with human behaviors and social environments \\n<xref>[8]</xref>\\n, \\n<xref>[9]</xref>\\n.\",\"PeriodicalId\":13044,\"journal\":{\"name\":\"IEEE Transactions on Computational Social Systems\",\"volume\":\"11 2\",\"pages\":\"1551-1555\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488826\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Computational Social Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10488826/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10488826/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0

摘要

技术的革新催生了在线支付、在线保险、在线借贷、供应链金融等数字金融的出现。数字金融极大地方便了人们的生活,加速了各领域资金的流通,增强了金融市场的活力。然而,其暴露出的股票波动、交易欺诈、信用卡诈骗、隐私泄露等风险和隐患也日益增多[1], [2], [3], [4], [5], [6], [7]。如何有效计算、控制、管理和利用金融大数据,充分利用人工智能技术确保金融安全,是一个重要的研究课题。解决这一问题面临诸多挑战。这些挑战不仅包括数据和计算的复杂性,还包括智能优化算法的有效性以及处理人类行为和社会环境的方法[8],[9]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Guest Editorial: Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security
The innovations in technologies have led to the emergence of digital finance such as online payment, online insurance, online lending, and supply chain finance. Digital finance has greatly facilitated people’s lives, accelerated the circulation of capital in various fields, and enhanced the vitality of financial markets. However, it exposes many increasing risks and hidden dangers such as stock volatility, trading fraud, credit card fraud, and privacy leakage [1] , [2] , [3] , [4] , [5] , [6] , [7] . How to effectively calculate, control, manage, and utilize financial big data and make full use of artificial intelligence technology to ensure financial security is an important research question. Solving it faces many challenges. These challenges not only include the complexity of data and computation but also the effectiveness of intelligent optimization algorithms and ways to deal with human behaviors and social environments [8] , [9] .
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Transactions on Computational Social Systems
IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
10.00
自引率
20.00%
发文量
316
期刊介绍: IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.
期刊最新文献
Table of Contents IEEE Transactions on Computational Social Systems Information for Authors IEEE Systems, Man, and Cybernetics Society Information IEEE Transactions on Computational Social Systems Publication Information Computational Aids on Mental Health: Revolutionizing Care in the Digital Age
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1