Essays about: "Fraud detection"
Showing result 6 - 10 of 63 essays containing the words Fraud detection.
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6. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. READ MORE
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7. Anomaly Detection of Time Series Caused by International Revenue Share Fraud : Additive Model and Autoencoder Applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this paper, we compare the performance of two methods to find the attempts at fraud from the data provided by Sinch (formerly CLX Communications, which is a telecommunications and cloud communications platform as a service (PaaS) company). We consider the problem as finding the anomaly in a time series signal, where we ignore the duration of a single call or other features and only care about the total volume of calls in a certain period. READ MORE
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8. Analysis of different machine learning approaches for financial transactional fraud detection
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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9. Evaluation of machine learning models for classifying malicious URLs
University essay from Högskolan i Gävle/DatavetenskapAbstract : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. READ MORE
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10. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE