Essays about: "Fraud detection"

Showing result 11 - 15 of 63 essays containing the words Fraud detection.

  1. 11. Face Identification Using Eigenfaces and LBPH : A Comparative Study

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : DEVI DEEPSHIKHA JAMI; NANDA SRIRAAM KAMBHAM; [2023]
    Keywords : face identification; LBPH; Eigenfaces;

    Abstract : Background: With the rise of digitalization, there has been an increasing needfor secure and effective identification solutions, particularly in the realm of votingsystems. Facial biometric technology has emerged as a potential solution to combat fraud and improve the transparency and security of the voting process. READ MORE

  3. 12. Telecom Fraud Detection Using Machine Learning

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

    Author : Chao Xiong; [2022]
    Keywords : Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

    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

  4. 13. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Anton Hansson; Hugo Cedervall; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 14. First cycle, 15 credits Machine Learning based Clustering of Bank Card Consumers : Identification of risk groups for fraud detection purposes

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

    Author : Jacob Hernberg; Ali Cicek; [2022]
    Keywords : ;

    Abstract : To safeguard consumers, banks have developed machine learning based fraud detections systems which work to prevent fraudulent card transactions from occurring. The goal of this report is to improve these systems by trying to segment consumers into different risk groups. READ MORE

  6. 15. Federated Learning with FEDn for Financial Market Surveillance

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Isak Voltaire Edoh; [2022]
    Keywords : machine learning; federated learning; privacy; market surveillance; financial markets; fraud detection; spoofing; market abuse; market manipulation; LSTM; FEDn;

    Abstract : Machine Learning (ML) is the current trend that most industries opt for to improve their business and operations. ML has also been adopted in the financial markets, where well-funded financial institutions employ the latest ML algorithms to gain an advantage on the market. READ MORE