Essays about: "Credit card fraud detection"

Showing result 1 - 5 of 8 essays containing the words Credit card fraud detection.

  1. 1. Credit Card Fraud Detection by Nearest Neighbor Algorithms

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Ramin Maghsood; [2023-04-13]
    Keywords : Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

    Abstract : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. READ MORE

  3. 2. Credit Card Transaction Fraud Detection Using Neural Network Classifiers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ehsan Nazeriha; [2023]
    Keywords : GAN; Deep Learning; Variational Autoencoder; Anomaly Detection; SMOTE; GAN; Djupinlärning; Variational Autoencoder; Anomali detektering; SMOTE;

    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

  4. 3. Imbalanced Predictions

    University essay from Lunds universitet/Statistiska institutionen

    Author : Stella Säfström; [2022]
    Keywords : Imbalanced data; cost-sensitive learning; SMOTE; random undersampling; Mathematics and Statistics;

    Abstract : The aim of the thesis is to evaluate solutions to the class imbalance problem using real world data sets with varying degrees of class imbalance. The analysis is limited to binary classification. Three large data sets relating to credit card fraud, vehicle insurance and heart disease are used for the analysis. READ MORE

  5. 4. Explainable AI methods for credit card fraud detection : Evaluation of LIME and SHAP through a User Study

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Yingchao Ji; [2021]
    Keywords : Explainable AI; Local Explanations; Shapley Additive Explanations; Local Interpretable Model Agnostic Explanations; Credit Card Fraud Detection;

    Abstract : In the past few years, Artificial Intelligence (AI) has evolved into a powerful tool applied in multi-disciplinary fields to resolve sophisticated problems. As AI becomes more powerful and ubiquitous, oftentimes the AI methods also become opaque, which might lead to trust issues for the users of the AI systems as well as fail to meet the legal requirements of AI transparency. READ MORE

  6. 5. Anomaly Detection in Credit Card Transactions using Autoencoders

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Carl Nordling; [2020]
    Keywords : ;

    Abstract : Money lost in credit card fraud reached approximately 27.85 billion dollars worldwide in 2018. Using machine learning and anomaly detection, fraud detection can be utilised with the goal of solving this major problem. READ MORE