Essays about: "fraud"

Showing result 6 - 10 of 209 essays containing the word fraud.

  1. 6. Detection of insurance fraud using NLP and ML

    University essay from Lunds universitet/Matematisk statistik

    Author : Rasmus Bäcklund; Hampus Öhman; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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

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

    University essay from KTH/Matematik (Avd.)

    Author : Nazar Maksymchuk Netterström; [2023]
    Keywords : 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;

    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

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

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

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

    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

  5. 9. 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 systemvetenskap

    Author : Atena Nazem; [2023]
    Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

    Abstract : 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

  6. 10. Anatomy of corruption in humanitarian assistance: a retrospective analysis of emergency response operations of the Liberia Red Cross Society (LRCS) to the Ebola Virus Disease (EVD) outbreak in Liberia (2014 – 2016)

    University essay from Uppsala universitet/Teologiska institutionen

    Author : Elisha Lawodo Bloe; [2023]
    Keywords : emergency response and recovery; humanitarian assistance; corruption; Ebola virus disease;

    Abstract : This study critically explores the pervasive issue of corruption in humanitarian assistance, focusing on the Liberia Red Cross Society (LRCS) during the Ebola outbreak in Liberia from 2014-2016. For a country grappling with broken infrastructure and fragile healthcare systems due to a 14-year-long civil war, the Ebola crisis in Liberia was an unprecedented disaster as evidenced by 10,672 recorded cases and 4,808 reported fatalities between 2014 and 2016. READ MORE