Sökning: "card payments"

Visar resultat 1 - 5 av 47 uppsatser innehållade orden card payments.

1. 1. Credit Card Transaction Fraud Detection Using Neural Network Classifiers

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

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

   Sammanfattning : 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. LÄS MER

3. 2. The E-krona and Traceability of Your Payment Data : An analysis of the fundamental differences and privacy-related impacts of the Riksbank’s e-krona pilot in comparison with card-based transactions

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Juridiska institutionen

   Författare :Lovisa Stenbacka; [2022]
   Nyckelord :e-krona; traceability; payment data; data protection; law; financial secrecy; AML; rule of law; democracy; technology; legal informatics; legal policy; law and technology; constitutional provisions; DLT; blockchain; wallet-id; information security; fintech; financial technology; the Riksbank; central bank; money; Riksbanken; finansiell teknologi; e-kronan; digital centralbanksvaluta; statlig kontroll; centralbank; konstitutionella förpliktelser; demokrati; skydd för betaldata; skydd för personuppgifter; finansiell sekretess; banksekretess; penningtvätt; informationsteknologi; rättsinformatik; rättspolitik;

   Sammanfattning : The Riksbank is currently investigating the possibility of producing a Central Bank Digital Currency in Sweden, called “e-krona”, implemented through an “e-krona network” on a platform based on Distributed Ledger Technology. By applying the methodology of legal dogmatics, legal informatics, and a legal policy perspective, this thesis examines and analyses some of the fundamental differences in Sweden’s current payment system for transactions at the point of sale, comparing debit card-based transactions with payments using the model of the Riksbank’s e-krona pilot. LÄS MER

4. 3. Where did my money go? A practical investigation towards users’ overspending behavior on online payment solution.

   Master-uppsats, Uppsala universitet/Institutionen för informatik och media

   Författare :Hangning Zhang; [2022]
   Nyckelord :Credit card premium; Online payment solution; Financial management; UX Design; Human-Computer Interaction;

   Sammanfattning : When entering the age of information technology, cash payments were slowly been replaced by other methods including credit cards and online payment applications. On one hand, it brings convenience, on the other hand, people potentially spend more money than before. LÄS MER

5. 4. On the Viability of Digital Cash in Offline Payments

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Joakim Holgersson; John Enarsson; [2022]
   Nyckelord :Digital cash; offline payments; anonymous payments; digital coin; electronic coin ; Digitala kontanter; offlinebetalningar; anonyma betalningar; digitala mynt; elektroniska mynt;

   Sammanfattning : Background. As the financial systems around the world become more digitized with the use of a card and mobile payments - we see a decrease in willingness to accept cash payments in many countries. These digital payments require a stable network connection to be processed in real-time. LÄS MER

7. 5. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

   Master-uppsats, KTH/Matematisk statistik

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

   Sammanfattning : 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. LÄS MER