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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| Hovedforfatter: | |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Petra Christian University
2007-01-01
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| Serier: | Jurnal Informatika |
| Fag: | |
| Online adgang: | http://puslit2.petra.ac.id/ejournal/index.php/inf/article/view/16609 |
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