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4 Case Studies in Fraud: Social Media and Identity Theft | Socialnomics
Abstract- Now a days Using technology like phishing technique to do internet banking fraud means transferring and removing the money from banker account without the permission of the banker. In this project trying build the model which predict fraud and nonfraud transaction in best way using machine learning algorithms and neural networks. Objective of the project is to predict the fraud and fraud less transaction with respect to the time and amount of the transaction using classication machine learning algorithms and statistics and calculus dierentiation ,chain rule etc and linear algebra in building of the complex machine learning models for prediction and understanding of the data set. Credit card is a small thin plastic or fiber card that contains information about the person such as picture or signature and person named on it to charge purchases and service to his linked account charges for which will be debited regularly. Now a days card information is read by ATMs, swiping machines, store readers, bank and online transaction.
4 Case Studies in Fraud: Social Media and Identity Theft
Companies are looking for credit card fraud detection software that will help to eliminate this problem or at least reduce the possible dangers. It is a set of activities undertaken to prevent money or property from being obtained through false pretenses. Models make predictions based on information about a transaction and some context historical information.
Credit card fraud comes in many different shapes and forms, including fraud that involves using a payment card of some description, and more. The reasons for credit card fraud also vary. Some are designed to obtain funds from accounts, while others wish to obtain goods for free.