EXPLOITING UNLABELED DATA IN CONCEPT DRIFT LEARNING
Learning unlabeled data in a drifting environment still receives little attention. This paper presents a concept tracker algorithm for learning concept drift that exploits unlabeled data. In the absence of complete labeled data, instance classes are identified using a concept hierarchy that is incre...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Petra Christian University
2007-01-01
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| coleção: | Jurnal Informatika |
| Assuntos: | |
| Acesso em linha: | http://puslit2.petra.ac.id/ejournal/index.php/inf/article/view/16609 |
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