Sökning: "Card usage"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden Card usage.

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

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

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

   Sammanfattning : 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. LÄS MER

3. 2. 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

4. 3. 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

5. 4. ECO-Tracks: Ökad Information med Globalt Positions System (GPS)

   Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Författare :Daniel Öhresten; [2021]
   Nyckelord :GPS; Elektronik; Inbyggda system;

   Sammanfattning : In this project a prototype that uses GPS for information gathering is created, the prototype gathers positional information and logs this on an SD-card. The gathered information can later be used with the help of “Google maps” and their API to show where the GPS module has been during its usage, the prototype is battery driven and has a battery life that is slightly longer than one month. LÄS MER

7. 5. Geographically Weighted Regression based Investigation of Transport Policies for Increased Public Transport Ridership : A Case Study of Stockholm

   Master-uppsats, KTH/Transportplanering

   Författare :Robert Günther Klar; [2021]
   Nyckelord :Public transport competitiveness; Geographically weighted regression; Public transport usage rate; Feature selection; Predictive modelling; Smart card data; ollektivtrafikens konkurrenskraft; Geografiskt viktad regression; Public transport usage rate; förutsägande modellering; variabel val; Smart card data;

   Sammanfattning : Public transport plays a vital role in society as the economy, the degree of sustainability and the qualityof life of a city is directly affected by transportation. A shift in modal share towards public transport isassociated with many benefits such as increased air quality and improved space allocation within thecity. LÄS MER