Semi-supervised Classification of Data Stream with Concept Drift Based on Clustering Model Reuse
Semi-supervised classification of data stream with concept drift poses challenges to classifier training,classifier adaption for new concept,and concept drifting detection,for only some or even very few instances are labeled.In the existing semi-supervised clustering classification algorithms,only t...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial office of Computer Science
2024-04-01
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| Serie: | Jisuanji kexue |
| Soggetti: | |
| Accesso online: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-4-124.pdf |
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