您当前的位置:
首页 >
文章列表页 >
Research on operators’ anti-fraud technology
更新时间:2026-04-20
    • Research on operators’ anti-fraud technology

    • Vol. 34, Issue 3, Pages: 70-74(2021)
    • DOI:10.13992/j.cnki.tetas.2021.03.016    

      CLC: F626;TP311.13;TP18
    • Published:2021

    移动端阅览

  • 杜刚, 朱艳云, 张晨, et al. Research on operators’ anti-fraud technology[J]. 2021, 34(3): 70-74. DOI: 10.13992/j.cnki.tetas.2021.03.016.

  •  
  •  
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

0

Views

119

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Practice of machine learning in data analysis
Research on the method of 5G Massive MIMO antenna weight optimization based on data mining
Network quality of experience evaluation based on machine learning
Research and application of intelligent operation and maintenance(AIOps)under China Unicom distributed architecture
Research on RSA mechanism of optical networks based on machine learning

Related Author

幸锋
刘兴旭
田原
张亚男
贾磊
李连本
蓝万顺
何凌

Related Institution

中国移动通信集团云南有限公司
中国移动通信集团陕西有限公司
中国移动通信集团广东有限公司
中国联合网络通信有限公司济南软件研究院
北京邮电大学
0