Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study
Aim: An anomaly is an observation or a group of observations that is unusual for a given dataset. Anomaly detection has many applications, not only as a step of data preparation but also, for example, as a way of identifying credit card fraud detection, network intrusions and much more. There are di...
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| Format: | Article |
| Language: | English |
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Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
2025-02-01
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| Series: | Ekonometria |
| Subjects: | |
| Online Access: | https://journals.ue.wroc.pl/eada/article/view/1539 |
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