Abnormal Pattern Prediction: Detecting Fraudulent Insurance Property Claims with Semi-Supervised Machine-Learning
Abnormal pattern prediction has received a great deal of attention from both academia and industry, with various applications (e.g., fraud, terrorism, intrusion detection, etc.). In practice, many abnormal pattern prediction problems are characterized by the simultaneous presence of skewed data, a l...
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2019-07-01
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| Series: | Data Science Journal |
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| Online Access: | https://datascience.codata.org/articles/914 |