تقرير
Challenges in anomaly and change point detection
| العنوان: | Challenges in anomaly and change point detection |
|---|---|
| المؤلفون: | Olteanu, Madalina, Rossi, Fabrice, Yger, Florian |
| المصدر: | 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), Oct 2022, Bruges, Belgium |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science Mathematics Statistics |
| مصطلحات موضوعية: | Computer Science - Machine Learning, Mathematics - Statistics Theory |
| الوصف: | This paper presents an introduction to the state-of-the-art in anomaly and change-point detection. On the one hand, the main concepts needed to understand the vast scientific literature on those subjects are introduced. On the other, a selection of important surveys and books, as well as two selected active research topics in the field, are presented. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2212.13520 |
| رقم الأكسشن: | edsarx.2212.13520 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |