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| Published in: | International Journal of Data Science and Analytics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1868938400158973952 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Data Science and Analytics |
| description | |
| discipline_display | Big data and data science |
| discipline_facet | Big data and data science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:95700 |
| institution | FRELIP |
| journal_source_facet | International Journal of Data Science and Analytics |
| last_indexed | 2026-06-25T03:35:51.118Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | RT: resilient transformation for anomaly detection in heteroscedastic time series Big data and data science General Big data and data science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Big data and data science General Big data and data science |
| subject_facet | Big data and data science General Big data and data science |
| title | RT: resilient transformation for anomaly detection in heteroscedastic time series |
| title_alt | RT: transformación resiliente para la detección de anomalías en series temporales heteroscedásticas RT : transformation résiliente pour la détection d'anomalies dans les séries temporelles hétéroscédastiques RT: transformação resiliente para detecção de anomalias em séries temporais heterocedásticas |
| title_auth | RT: resilient transformation for anomaly detection in heteroscedastic time series |
| title_es_txt | RT: transformación resiliente para la detección de anomalías en series temporales heteroscedásticas |
| title_fr_txt | RT : transformation résiliente pour la détection d'anomalies dans les séries temporelles hétéroscédastiques |
| title_full | RT: resilient transformation for anomaly detection in heteroscedastic time series |
| title_fullStr | RT: resilient transformation for anomaly detection in heteroscedastic time series |
| title_full_unstemmed | RT: resilient transformation for anomaly detection in heteroscedastic time series |
| title_pt_txt | RT: transformação resiliente para detecção de anomalias em séries temporais heterocedásticas |
| title_short | RT: resilient transformation for anomaly detection in heteroscedastic time series |
| title_sort | rt: resilient transformation for anomaly detection in heteroscedastic time series |
| topic | Big data and data science General Big data and data science |
| url | https://link.springer.com/article/10.1007/s41060-026-01188-5 |