Credit Card Fraud Detection and Analysis through Machine Learning - Brossura

Sharma, Anand; Goyal, Yogita

Brossura

ISBN 10: 195275142X ISBN 13: 9781952751424

Casa editrice: Eliva Press, 2020

Riassunto

At the current state of the world, financial organizations expand the availability of financial facilities by employing of innovative services such as credit cards, Automated Teller Machines (ATM), internet and mobile banking services. Besides, along with the rapid advances of e-commerce, the use of credit card has become a convenience and necessary part of financial life. Credit card is a payment card supplied to customers as a system of payment. Nowadays, the Credit card usage is increasing day by day for both regular purchases as well as online. In every transaction of credit card, the bank should check the fraud detection. Year after year, the damages inflicted by the credit card fraud problem are growing rapidly. The intention behind these kinds of fraudulence may be obtaining goods without paying, or unauthorized funds from an account. This book is providing an approach for the credit card fraud detection using machine learning. Logistic regression, anomaly detection, and stochastic gradient descent techniques are used in this approach.

Dettagli dell'edizione

• Editore: Eliva Press
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 195275142X
• ISBN 13: 9781952751424
• Rilegatura: Copertina flessibile
• Numero di pagine: 43
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile