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文章基本信息

  • 标题:Credit Card Fraud Detection System using Hidden Markov Model and Adaptive Communal Detection
  • 本地全文:下载
  • 作者:Nabha Kshirsagar ; Neha Pandey ; Shraddha Kotkar
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:1795-1797
  • 出版社:TechScience Publications
  • 摘要:Due to enormous growth in e-commerce ,there has been a drastic increase in use of credit cards for various purposes which include online and regular purchases. Associated with this rise, there are an alarming number of fraudulent cases that are reported every year. The proposed fraud detection system detects the fraud before the transaction is completed. Hidden Markov Model (HMM) and adaptive Communal Detection (CD) have been used for increasing the accuracy of the system along with One Time Password (OTP). If any of the two methods detects the incoming transaction as fraud ,OTP is sent to registered card holder.
  • 关键词:Data mining; Credit card fraud detection; HMM;CD
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