Fraud: and anomaly detection in healthcare: an unsupervised machine learning approach

Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics

Bibliographic Details
Main Author: Dangers, Lennart (author)
Format: masterThesis
Language:eng
Published: 2022
Subjects:
Fraud detection
Anomaly detection
Healthcare data
Unsupervised learning
Clustering
Machine learning
Isolation forest
Network analysis
Cancellation Prediction
Online Access:http://hdl.handle.net/10362/132860
Country:Portugal
Oai:oai:run.unl.pt:10362/132860

Internet

http://hdl.handle.net/10362/132860

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