Detecting ‘Lifestates’ From Digital Footprint Time Series Data
Introduction & Background As digital footprints data continue to grow in complexity and volume, understanding and summarising large, high-dimensional time series is becoming increasingly important for analysing behavioural patterns. In various domains, mass data collection is routine and crucial to...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Swansea University
2025-10-01
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| Серія: | International Journal of Population Data Science |
| Предмети: | |
| Онлайн доступ: | https://ijpds.org/article/view/3339 |
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