Essays about: "fraud in credit card transactions"

Showing result 1 - 5 of 6 essays containing the words fraud in credit card transactions.

  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. 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

  4. 3. Fraud or Not?

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Thea Åkerblom; Tobias Thor; [2019]
    Keywords : Logistic Regression; K-Nearest Neighbour; classification; random forest; fraud; transactions and statistical learning;

    Abstract : This paper uses statistical learning to examine and compare three different statistical methods with the aim to predict credit card fraud. The methods compared are Logistic Regression, K-Nearest Neighbour and Random Forest. READ MORE

  5. 4. Fraud Detection on Unlabeled Data with Unsupervised Machine Learning

    University essay from KTH/Hälsoinformatik och logistik

    Author : Martin Renström; Timothy Holmsten; [2018]
    Keywords : Anomaly detection; fraud detection; unsupervised machine learning; autoencoder; Anomali detektering; bedrägeri detektering; oövervakad maskininlärning; autoencoder;

    Abstract : A common problem in systems handling user interaction was the risk for fraudulent behaviour. As an example, in a system with credit card transactions it could have been a person using a another user's account for purchases, or in a system with advertisment it could be bots clicking on ads. READ MORE

  6. 5. CREDIT CARD FRAUD DETECTION (Machine learning algorithms)

    University essay from Umeå universitet/Statistik

    Author : Fredrik Westerlund; [2017]
    Keywords : Credit card fraud detection; Machine learning; Supervised learning algorithms; Classification; Unbalanced data;

    Abstract : Credit card fraud is a field with perpetrators performing illegal actions that may affect other individuals or companies negatively. For instance, a criminalcan steal credit card information from an account holder and then conduct fraudulent transactions. READ MORE