Sökning: "Credit card fraud detection"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden Credit card fraud detection.
1. Credit Card Fraud Detection by Nearest Neighbor Algorithms
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : 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
2. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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. Imbalanced Predictions
Magister-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : The aim of the thesis is to evaluate solutions to the class imbalance problem using real world data sets with varying degrees of class imbalance. The analysis is limited to binary classification. Three large data sets relating to credit card fraud, vehicle insurance and heart disease are used for the analysis. LÄS MER
4. Explainable AI methods for credit card fraud detection : Evaluation of LIME and SHAP through a User Study
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : In the past few years, Artificial Intelligence (AI) has evolved into a powerful tool applied in multi-disciplinary fields to resolve sophisticated problems. As AI becomes more powerful and ubiquitous, oftentimes the AI methods also become opaque, which might lead to trust issues for the users of the AI systems as well as fail to meet the legal requirements of AI transparency. LÄS MER
5. Anomaly Detection in Credit Card Transactions using Autoencoders
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER