首页    期刊浏览 2025年06月19日 星期四
登录注册

文章基本信息

  • 标题:Detecting Frauds in Online Auction System
  • 本地全文:下载
  • 作者:K. Prathyusha ; T. Anuradha ; R. Sai Nikitha
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:4
  • 出版社:S.S. Mishra
  • 摘要:We know that these days online shopping increased drastically. E-commerce is growing faster than predicted as it is up over 400% in the past 3 years. As customers have the ease to buy things without spending much time there are also criminals who try to fraud and get profit in illegal ways. Ma ny pro -active fraud detection techniques came to reduce the frauds and illegal activities. Machine-learned models especially those are learned online, are able to catch frauds more efficiently and quickly than human tuned rule-based systems. In this paper, we study about online fraud detection.
  • 关键词:Online auction; Fraud detection; Online equity regression; fraud churn; fraud score; selective labelling
国家哲学社会科学文献中心版权所有