Article ID Journal Published Year Pages File Type
10327531 Computational Statistics & Data Analysis 2013 15 Pages PDF
Abstract
► A novel statistical methodology for analysing population drift in classification is presented. ► Drift mining that aims at modelling changes in distributions over time is introduced. ► A model on global drift that addresses a change in class prior is introduced.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Preview
Drift mining in data: A framework for addressing drift in classification
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