Essays about: "thesis in ,credit card"

Showing result 1 - 5 of 26 essays containing the words thesis in ,credit card.

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

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

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

    Abstract : 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. READ MORE

  3. 2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Robert Iain Salter; [2023]
    Keywords : Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

    Abstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE

  4. 3. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Keywords : Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Abstract : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. READ MORE

  5. 4. Evaluating Random Forest and k-Nearest Neighbour Algorithms on Real-Life Data Sets

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

    Author : Atheer Salim; Milad Farahani; [2023]
    Keywords : Random Forest; k-Nearest Neighbour; Evaluation; Machine Learning; Classification; Execution Time; Slumpmässig Skog; k-Närmaste Granne; Utvärdering; Maskininlärning; Klassificiering; Exekveringstid;

    Abstract : Computers can be used to classify various types of data, for example to filter email messages, detect computer viruses, detect diseases, etc. This thesis explores two classification algorithms, random forest and k-nearest neighbour, to understand how accurately and how quickly they classify data. READ MORE

  6. 5. Imbalanced Predictions

    University essay from Lunds universitet/Statistiska institutionen

    Author : Stella Säfström; [2022]
    Keywords : Imbalanced data; cost-sensitive learning; SMOTE; random undersampling; Mathematics and Statistics;

    Abstract : 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. READ MORE