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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Speeding Up Statistical Tests to Detect Recurring Concept Drifts
verfasst von : Paulo Mauricio Gonçalves Júnior, Roberto Souto Maior de Barros
Erschienen in: Computer and Information Science
Verlag: Springer International Publishing
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RCD is a framework for dealing with recurring concept drifts. It reuses previously stored classifiers that were trained on examples similar to actual data, through the use of multivariate non-parametric statistical tests. The original proposal performed statistical tests sequentially. This paper improves RCD to perform the statistical tests in parallel by the use of a thread pool and presents how parallelism impacts performance. Results show that using parallel execution can considerably improve the evaluation time when compared to the corresponding sequential execution in environments where many concept drifts occur.