Credit card fraud detection system using computational intelligence
98 p.
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2010
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sg-ntu-dr.10356-390562023-07-04T15:25:48Z Credit card fraud detection system using computational intelligence Sriganesh Maniganahalli Srihari. Quah Tong Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing 98 p. Online banking and e-commerce experienced rapid growth over the past few years and show tremendous promise of growth even in the future. This has made it easier for fraudsters to indulge in new and abstruse ways of committing credit card fraud over the electronic channels. Statistics of the losses incurred due to credit card fraud show that technology is yet to catch up with the new trends of fraud and every new step towards effective fraud detection is of immense commercial value to the whole business-to- consumer industry. Master of Science (Communication Software and Networks) 2010-05-21T04:39:01Z 2010-05-21T04:39:01Z 2007 2007 Thesis http://hdl.handle.net/10356/39056 application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Sriganesh Maniganahalli Srihari. Credit card fraud detection system using computational intelligence |
description |
98 p. |
author2 |
Quah Tong Seng |
author_facet |
Quah Tong Seng Sriganesh Maniganahalli Srihari. |
format |
Theses and Dissertations |
author |
Sriganesh Maniganahalli Srihari. |
author_sort |
Sriganesh Maniganahalli Srihari. |
title |
Credit card fraud detection system using computational intelligence |
title_short |
Credit card fraud detection system using computational intelligence |
title_full |
Credit card fraud detection system using computational intelligence |
title_fullStr |
Credit card fraud detection system using computational intelligence |
title_full_unstemmed |
Credit card fraud detection system using computational intelligence |
title_sort |
credit card fraud detection system using computational intelligence |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/39056 |
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1772829147185283072 |