EXPLOITING UNLABELED DATA IN CONCEPT DRIFT LEARNING

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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Bibliographic Details
Main Author: Dwi Hendratmo Widyantoro
Format: Article
Language:English
Published: Petra Christian University 2007-01-01
Series:Jurnal Informatika
Subjects:
concept drift learning
unlabeled data
persistence assumption.
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/inf/article/view/16609

Internet

http://puslit2.petra.ac.id/ejournal/index.php/inf/article/view/16609

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