Unsupervised Insurance Fraud Prediction Based on Anomaly Detector Ensembles
The detection of anomalous data patterns is one of the most prominent machine learning use cases in industrial applications. Unfortunately very often there are no ground truth labels available and therefore it is good practice to combine different unsupervised base learners with the hope to improve...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Risks |
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| Online Access: | https://www.mdpi.com/2227-9091/10/7/132 |