Cargando…
Adaptive windowing based recurrent neural network for drift adaption in non-stationary environment
In today’s digital era, many applications generate massive data streams that must be sequenced and processed immediately. Therefore, storing large amounts of data for analysis is impractical. Now, this infinite amount of evolving data confronts concept drifts in data stream classification. Concept d...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243804/ https://www.ncbi.nlm.nih.gov/pubmed/35789602 http://dx.doi.org/10.1007/s12652-022-04116-0 |