Sökning: "Bedrägeriupptäckt"

Hittade 2 uppsatser innehållade ordet Bedrägeriupptäckt.

1. 1. Anomaly Detection of Time Series Caused by International Revenue Share Fraud : Additive Model and Autoencoder Applications

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Lingxiao Wang; [2023]
   Nyckelord :Fraud detection; Anomaly detection; Machine learning; Bedrägeriupptäckt; Anomalidetektering; Maskininlärning;

   Sammanfattning : In this paper, we compare the performance of two methods to find the attempts at fraud from the data provided by Sinch (formerly CLX Communications, which is a telecommunications and cloud communications platform as a service (PaaS) company). We consider the problem as finding the anomaly in a time series signal, where we ignore the duration of a single call or other features and only care about the total volume of calls in a certain period. LÄS MER

3. 2. Machine learning for detecting fraud in an API

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Anna Sánchez Espunyes; [2022]
   Nyckelord :Fraud detection; Machine learning; Supervised learning; Sentence-BERT; Web API; Bedrägeriupptäckt; Maskininlärning; Övervakad inlärning; Sentence-BERT; Web API;

   Sammanfattning : An Application Programming Interface (API) provides developers with a high-level framework that abstracts the underlying implementation of services. Using an API reduces the time developers spent on implementation, and it encourages collaboration and innovation from third-party developers. LÄS MER