Identification of stock market manipulation using a hybrid ensemble approach
Anomaly detection in time series data is a complex data mining issue with many useful, real-world applications. Anomalies in datasets represent deviations in the expected behaviour of a system and can indicate rare but significant events that require intervention. Market manipulation is a serious is...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | UMS Journal (OJS) |
| Språk: | eng |
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Universitas Muhammadiyah Surakarta
2023
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| Ämnen: | |
| Länkar: | https://journals2.ums.ac.id/index.php/arstech/article/view/2576 |
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