Essays about: "thesis on credit card"

Showing result 6 - 10 of 21 essays containing the words thesis on credit card.

  1. 6. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    University essay from KTH/Matematisk statistik

    Author : Billy Lu; [2022]
    Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE

  3. 7. C&C architecture : Automation of the deployment of a sophisticated infrastructure, for new malicious uses, harder to detect

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

    Author : Timon Glasser; [2021]
    Keywords : Command Control; botnets; RAT; detection; implementation; Red Team; Command Control; botnät; RAT; upptäckt; genomförande; Red Team;

    Abstract : Today cybersecurity is becoming a major concern for all of society. Companies can lose billions of dollars because of cyberattacks. States need to keep the vital infrastructure of the country running and must prepare for cyberwar against cyberterrorism and other states. READ MORE

  4. 8. 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

  5. 9. Handling Imbalanced Data Classification With Variational Autoencoding And Random Under-Sampling Boosting

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Jesper Ludvigsen; [2020]
    Keywords : Imbalanced classification data; Variational Autoencoder; Random Under-Sampling Boosting; Credit Card Fraud; Fraud; Mammography;

    Abstract : In this thesis, a comparison of three different pre-processing methods for imbalanced classification data, is conducted. Variational Autoencoder, Random Under-Sampling Boosting and a hybrid approach of the two, are applied to three imbalanced classification data sets with different class imbalances. READ MORE

  6. 10. 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