Sökning: "card and or credit fraud"

Hittade 5 uppsatser innehållade orden card and or credit fraud.

  1. 1. Oron bakom skärmen : En kvantitativ studie om kort- och/eller kreditbedrägeri

    Kandidat-uppsats, Malmö universitet/Fakulteten för hälsa och samhälle (HS)

    Författare :VIKTORIA KALABA; SANDRA JAVANI; PETRA LAKSJÖ; [2022]
    Nyckelord :Anxiety; vulnerability; risk behavior; internetfraud; card and or credit fraud; Oro; utsatthet; riskbeteende; internetbedrägeri; kort- och eller kreditbedrägeri;

    Sammanfattning : Följande kriminologiska studie redogör för individers utsatthet och deras riskbeteende kring oron för kort- och/eller kreditbedrägerier. Syftet med undersökningen har varit att undersöka människors oro att bli utsatta för kort- och/eller kreditbedrägeri på internet, tidigare utsatthet för bedrägeri och riskbeteenden över internet. LÄS MER

  3. 2. A Comparative Evaluation Of Semi-supervised Anomaly Detection Techniques

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Rebwar Bajallan; Burhan Hashi; [2020]
    Nyckelord :;

    Sammanfattning : As we are entering the information age and the amount of data is rapidly increasing, the task of detecting anomalies has become a necessity in many organizations as anomalies often reveal useful information which in many cases can be critical to save lives or to catch imposters. The semi-supervised approach to anomaly detection which is based on the fact that the user has no information about anomalies has become widely popular since it’s easier to model the normal state of systems than to obtain information about every anomalous behavior. LÄS MER

  4. 3. Fraud or Not?

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

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

    Sammanfattning : 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. LÄS MER

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

    M1-uppsats, KTH/Hälsoinformatik och logistik

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

    Sammanfattning : 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. LÄS MER

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

    Magister-uppsats, Umeå universitet/Statistik

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

    Sammanfattning : 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. LÄS MER