Data Stream Clustering Techniques, Applications, and Models: Comparative Analysis and Discussion
Data growth in today’s world is exponential, many applications generate huge amount of data streams at very high speed such as smart grids, sensor networks, video surveillance, financial systems, medical science data, web click streams, network data, etc. In the case of traditional data mining...
Збережено в:
| Автори: | , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2018-10-01
|
| Серія: | Big Data and Cognitive Computing |
| Предмети: | |
| Онлайн доступ: | http://www.mdpi.com/2504-2289/2/4/32 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|