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All Journal Jurnal Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Journal of ICT Research and Applications Malcom: Indonesian Journal of Machine Learning and Computer Science
Dwi Hendratmo Widyantoro
School Of Electrical Engineering And Informatics, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132,
Computer Science & IT Decision Sciences, Operations Research & Management

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Journal : Jurnal Informatika

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EXPLOITING UNLABELED DATA IN CONCEPT DRIFT LEARNING Widyantoro, Dwi Hendratmo
Jurnal Informatika Vol 8, No 1 (2007): MAY 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (183.665 KB) | DOI: 10.9744/informatika.8.1.pp. 54-62

Abstract

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 incrementally constructed from data stream (mostly unlabeled data) in unsupervised mode. The persistence assumption in temporal reasoning is then applied to infer target concepts. Empirical evaluation that has been conducted on information-filtering domains demonstrates the effectiveness of this approach.
Co-Authors Ayu Purwarianti Bambang Riyanto Trilaksono Dessi Puji Lestari Devin Hoesen E. Aminudin Aziz Emir Mauludi Husni KUSPRIYANTO Masayu Leylia Khodra Mohammad Dimas Ramdani, Ahmad Luky Rani Megasari Rinaldi Munir Ruskanda, Fariska Zakhralativa