Sökning: "Insurance Fraud Detection"

Hittade 5 uppsatser innehållade orden Insurance Fraud Detection.

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

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Rasmus Bäcklund; Hampus Öhman; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : 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. LÄS MER

  3. 2. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Anton Hansson; Hugo Cedervall; [2022]
    Nyckelord :Insurance Fraud Detection; Anomaly Detection; Long Short-Term Memory Networks LSTM ; Unsupervised Learning; Autoencoder AE ; Variational Autoencoder VAE ; Interpretable Machine Learning; Feature Engineering; Feature Selection; Feature Importance;

    Sammanfattning : Fraud is a common crime within the insurance industry, and insurance companies want to quickly identify fraudulent claimants as they often result in higher premiums for honest customers. Due to the digital transformation where the sheer volume and complexity of available data has grown, manual fraud detection is no longer suitable. LÄS MER

  4. 3. Estimating the risk of insurance fraud based on tonal analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Henrik Steneld; [2022]
    Nyckelord :Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Sammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER

  5. 4. Imbalanced Predictions

    Magister-uppsats, Lunds universitet/Statistiska institutionen

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

    Sammanfattning : 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. LÄS MER

  7. 5. Detecting Smartphone Insurance Fraud

    Master-uppsats, Lunds universitet/Innovationsteknik

    Författare :Björn Angtoft; Olof Hallqvist; [2019]
    Nyckelord :insurance; insurance fraud; insurance fraud detection; smartphone; insurance fraud indicators; Technology and Engineering;

    Sammanfattning : The vast majority of Swedes are in possession of a smartphone, typically covered via one’s household insurance policy and smartphones are included in upwards of 50 % of household insurance claims (Hedvig, 2019). Some estimates say that upwards of 40 % of all smartphone claims are fraudulent. LÄS MER