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Informative Article | Science and Technology | India | Volume 9 Issue 1, January 2020 | Popularity: 4.8 / 10
Leveraging Machine Learning for Payment Fraud Detection
Naga Lalitha Sree Thatavarthi
Abstract: The fight against fraud has become more intense in the fast-paced digital age when every click and transaction leave a digital trace. In comparison to pre-pandemic levels, digital fraud attempts have increased 80% globally in 2022, according to a recent analysis from TransUnion. This emphasises how urgently sophisticated solutions are needed. Businesses are able to anticipate and stop fraudulent acts before they occur by utilising machine learning. This contributes to building a robust defence against the growing danger of digital deceit. This study explores the challenging field of fraud detection and shows how machine learning can be a ray of hope.
Keywords: Mobile Payment Fraud, Machine Learning, Fraud Detection
Edition: Volume 9 Issue 1, January 2020
Pages: 1939 - 1941
DOI: https://www.doi.org/10.21275/SR24615131232
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Science and Technology, India, Volume 9 Issue 4, April 2020
Pages: 387 - 392Formulation and In-vitro Evaluation of Diltiazem Hydrochloride Non Effervescent Floating Tablets
S. Shravani, Dr. Sowjanya Battu, Dr. K. Abbulu
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Science and Technology, India, Volume 9 Issue 7, July 2020
Pages: 1794 - 1795How Fingerprints are Collected on Different Diseases
Vishal Saini
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Science and Technology, Russia, Volume 9 Issue 8, August 2020
Pages: 367 - 372In the Wake of the Pandemic: Scientific Researches must be Controlled with the Participation of People from the Street
Sergey D. Haitun
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Science and Technology, Malaysia, Volume 9 Issue 7, July 2020
Pages: 1647 - 1650Modelling and Forecasting Malaysian Consumer Price Index
Azme Bin Khamis, Asran Nazmi Bin Atan, Siti Noor Asyikin Mohd Razali, Norhaidah Mohd Asrah, Sabariah Saharan
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Science and Technology, Sudan, Volume 3 Issue 8, August 2014
Pages: 1105 - 1109Callus Induction and Antimicrobial Activities of Callus and Intact Plant Extracts of Datura stramonium L.
Mawahib E.M. ElNour, Futooh Zaydan Abd-Al- Rahman Mahmood, Sanaa O. Yagoub