نتایج جستجو برای: credit cards fraud detection

تعداد نتایج: 610495  

2013
Gajendra Singh Ravindra Gupta Ashish Rastogi D. S. Chandel Abhinav Srivastava Amlan Kundu Shamik Sural Arun K. Majumdar

the growth of e-commerce increases the money transaction via electronic network which is designed for hassle free fast & easy money transaction but the facility involves greater risk of misuse of facility for fraud one of them is credit card fraud it can be happened by many types as by stolen card, by internet hackers who can hack your system & get important information about your card, or by i...

2011
Markus Goldstein Andreas Dengel

Anomaly Detection is the process of finding outlying record from a given data set. This problem has been of increasing importance due to the increase in the size of data and the need to efficiently extract those outlying records which could indicate unauthorized access of the system, credit card theft or the diagnosis of a disease. The aim of this bachelor thesis is to implement a RapidMiner ex...

2014
Alejandro Correa Bahnsen Aleksandar Stojanovic Djamila Aouada Björn E. Ottersten

Previous analysis has shown that applying Bayes minimum risk to detect credit card fraud leads to better results measured by monetary savings, compared with traditional methodologies. Nevertheless, this approach requires good probability estimates that not only separates well between positive and negative examples, but also assesses the real probability of the event. Unfortunately not all class...

Journal: :International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2019

Journal: :European Journal of Engineering Research and Science 2018

Journal: : 2021

The objective of this paper is to identify credit card fraud and topic can be solved with the help advanced machine learning deep techniques. Due fact that a serious worldwide problem, we have chosen create model for detecting im-poster scams by using neural networks. purpose understand, determine learn normal behavior user more precisely detection identity fraud. Each person has trading patter...

Journal: :International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2020

Journal: :International Journal of Security, Privacy and Trust Management 2012

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