Time series clustering and anomaly detection in the financial markets
Time series clustering and anomaly detection provide researches with useful domain insights but are also two of the most challenging time series data mining issues. As both activities have high time complexity cost and high memory requirements, few studies on large time series datasets have been mad...
| 1. autor: | |
|---|---|
| Kolejni autorzy: | |
| Format: | Final Year Project (FYP) |
| Język: | English |
| Wydane: |
Nanyang Technological University
2021
|
| Hasła przedmiotowe: | |
| Dostęp online: | https://hdl.handle.net/10356/148473 |