Essays about: "thesis on credit card"
Showing result 1 - 5 of 16 essays containing the words thesis on credit card.
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1. Credit Card Fraud Detection by Nearest Neighbor Algorithms
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : 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
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2. 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 datavetenskapAbstract : 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
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3. Imbalanced Predictions
University essay from Lunds universitet/Statistiska institutionenAbstract : 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
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4. C&C architecture : Automation of the deployment of a sophisticated infrastructure, for new malicious uses, harder to detect
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today cybersecurity is becoming a major concern for all of society. Companies can lose billions of dollars because of cyberattacks. States need to keep the vital infrastructure of the country running and must prepare for cyberwar against cyberterrorism and other states. READ MORE
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5. Handling Imbalanced Data Classification With Variational Autoencoding And Random Under-Sampling Boosting
University essay from Uppsala universitet/Statistiska institutionenAbstract : In this thesis, a comparison of three different pre-processing methods for imbalanced classification data, is conducted. Variational Autoencoder, Random Under-Sampling Boosting and a hybrid approach of the two, are applied to three imbalanced classification data sets with different class imbalances. READ MORE