Sökning: "Bank Fraud"

Visar resultat 1 - 5 av 24 uppsatser innehållade orden Bank Fraud.

  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. AI inom banker : Befintliga AI implementeringar och etisk problematik inom banker

    Kandidat-uppsats, Högskolan i Borås/Akademin för textil, teknik och ekonomi

    Författare :Almir Smrkovic; Muaaz Alsayed Ali; Albin Andersson; [2023]
    Nyckelord :Artificiell intelligens; Automation; Bank; Ethics; Implementation; Innovation; Moral; Artificiell intelligens; Automatisering; Bank; Etik; Implementering; Innovation; Moral;

    Sammanfattning : Banker lägger historiskt sett mycket fokus på en stabil och säker utveckling av dess verksamhetsprocesser. Den teknologiska utvecklingen i samhället gör att det blir alltmer nödvändigt för banker att utveckla sina system för att möta denna förändring. LÄS MER

  4. 3. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Nazar Maksymchuk Netterström; [2023]
    Nyckelord :Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

    Sammanfattning : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. LÄS MER

  5. 4. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

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

    Författare :Daniel Rubio Adeva; [2023]
    Nyckelord :Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

    Sammanfattning : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. LÄS MER

  7. 5. Är bedrägeri inom svenska banker en utmaning? : En empirisk studie av riskhantering på bedrägerier inom de tre svenska storbanker

    Kandidat-uppsats, Södertörns högskola/Institutionen för samhällsvetenskaper

    Författare :Jessica Nano; Sandeep Kaur; [2023]
    Nyckelord :Banking Sector; Financial system; Fraud; Risk Management; Operative Risk; Stakeholder; Banksektor; Bedrägeri; Finansiella system; Intressent; Operativ risk; Riskhantering;

    Sammanfattning : Background and problem discussion: Frauds have increased drastically and changed in nature over the years. The risk management of fraud has become increasingly important and a tangible problem, especially in the Swedish banking sector where the incidence of fraud has increased significantly. LÄS MER