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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Xehetasun bibliografikoak
Egile nagusia: Dwi Hendratmo Widyantoro
Formatua: Artikulua
Hizkuntza:English
Argitaratua: Petra Christian University 2007-01-01
Saila:Jurnal Informatika
Gaiak:
concept drift learning
unlabeled data
persistence assumption.
Sarrera elektronikoa: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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