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Modeling the Example Life-Cycle in an Online Classification Learner

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Marrs, Gary R., Hickey, Ray J. and Black, Michaela (2010) Modeling the Example Life-Cycle in an Online Classification Learner. In: HaCDAIS 2010: International Workshop on Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010) Barcelona. Online Proceedings of HaCDAIS 2010 (First International Workshop on Handling Concept Drift in Adaptive Information Systems), ECML / PKDD. 8 pp. [Conference contribution]

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Abstract

An online classification system maintained by a learner can besubject to latency and filtering of training examples which can impact on itsclassification accuracy especially under concept drift. A life-cycle model isdeveloped to provide a framework for studying this problem. Meta dataemerges from this model which it is proposed can enhance online learningsystems. In particular, the definition of the time-stamp of an example, ascurrently used in the literature, is shown to be problematic and an alternative isproposed.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:18792
Deposited By:Dr Michaela Black
Deposited On:22 Jun 2011 15:23
Last Modified:22 Jun 2011 15:23

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