期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：579-583
语种：English
出版社：Ayushmaan Technologies
摘要：Since the increasing demand of the internet online shopping and online auction have got more popularity among the people. While these transaction are enjoying by the people criminals are also actively participating to get illegal profit. There are many approach to detect the fraud and give protection to the online transaction but still we are missing some where to be success .Machine-learned models, that is help of human tuned rule based system. This paper, proposes an online model which takes feature selection and coefficient bounds from human knowledge as a key knowledge. By rigorous experiments we have concluded that this model can reach the expectation of the people and help them from online fraud.
