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.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | IEEE |
| Number of pages | 8 |
| Publication status | Published (in print/issue) - 24 Sept 2010 |
| Event | 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 Duration: 24 Sept 2010 → … |
Workshop
| Workshop | HaCDAIS 2010: International Workshop on Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions |
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| Period | 24/09/10 → … |