Essays about: "fraud system"
Showing result 1 - 5 of 57 essays containing the words fraud system.
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1. Detection of insurance fraud using NLP and ML
University essay from Lunds universitet/Matematisk statistikAbstract : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. READ MORE
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2. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE
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3. Concerns of Power and Policy in the Use of Biometrics by UNHCR
University essay from Uppsala universitet/Teologiska institutionenAbstract : This paper investigates the growing concerns surrounding the utilisation of biometric technology within humanitarian organisations, with a specific focus on the Biometric Information Management System (BIMS) operated by UNHCR. The study is based on a literature review in which themes of concern are first identified in theoretical literature followed by an examination of empirical literature (here termed ‘refugee-including literature’) to see if the concerns are shared. READ MORE
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4. Consumer attitudes towards blockchain food traceability technology in Sweden
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : The research utilizes a Discrete Choice Experiment to assess consumer preferences and determine blockchain-based food traceability's relative importance and utility in the food purchasing process. The study specifically tests five selected attributes of olive oil, including price, organic label, olive oil type, country of origin, and blockchain traceability. READ MORE
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5. 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