DocumentCode :
230964
Title :
Utilization of modern tools to simulate neural networks
Author :
Malgaonkar, Saurabh ; Bollavarapu, Swarnalata ; Hirave, Tejas ; Vichare, Abhishek
Author_Institution :
Comput. Eng. Dept., NMIMS Univ., Mumbai, India
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Nowadays, online credit card transactions has become a hot spot for frauds. The amount spent by a person using his credit card can vary and there is never a particular pattern of a person´s expenses. Due to this characteristic of credit card use and its fraud, traditional algorithms cannot be implemented for credit card fraud detection. We required some trial and error methods which also gained experience over time. Analysis of the application areas and relevance of neural networks was done. Various software creating, training neural networks were studied. Finally, the results obtained were analyzed.
Keywords :
Internet; credit transactions; fraud; learning (artificial intelligence); neural nets; credit card fraud detection; modern tool; neural networks; online credit card transaction; software creation; training neural network; trial and error method; Accuracy; Biological neural networks; Credit cards; Educational institutions; Software; Training; Fraud; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-6895-4
Type :
conf
DOI :
10.1109/ICRITO.2014.7014725
Filename :
7014725
Link To Document :
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