Essays about: "bedrägerier"
Showing result 1 - 5 of 21 essays containing the word bedrägerier.
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1. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis
University essay from KTH/Matematik (Avd.)Abstract : 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. READ MORE
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2. Performance comparison of data mining algorithms for imbalanced and high-dimensional data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Att se det som inte ska synas : Vilka utmaningar står livsmedelsinspektörer inom den kommunala kontrollverksamheten inför när det kommer till att upptäcka bedrägligt och vilseledande ageranden utifrån de lagar och föreskrifter som finns
University essay from SLU/Dept. of Energy and TechnologyAbstract : I alla tider har det funnits förekomster av bedrägerier inom livsmedelssektorn, och de främsta incitamenten är oftast av ekonomisk natur. Det är ett allvarligt problem eftersom trovärdigheten för våra livsmedel blir missbrukad och det kan leda till negativa konsekvenser för konsumenternas hälsa. READ MORE
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4. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Telecom Fraud Detection Using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. READ MORE