Anomaly detection in stock data.
<div><p>As the financial market becomes increasingly complex, stock prediction and anomaly data detection have emerged as crucial tasks in financial risk management. However, existing methods exhibit significant limitations in handling the intricate relationships between stocks and addre...
Saved in:
| Main Author: | Ming Shi (78991) (author) |
|---|---|
| Other Authors: | Roznim Mohamad Rasli (20890790) (author), Shir Li Wang (20890793) (author) |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance of models in different windows (with anomaly detection).
by: Ming Shi (78991)
Published: (2025) -
Comparison of model loss performance with anomaly detection.
by: Ming Shi (78991)
Published: (2025) -
Comparison of model accuracy performance with anomaly detection.
by: Ming Shi (78991)
Published: (2025) -
Performance of models in different windows (without anomaly detection).
by: Ming Shi (78991)
Published: (2025) -
Comparison of model loss performance without anomaly detection.
by: Ming Shi (78991)
Published: (2025)