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Concept drift in data streams is a change in the underlying distribution that can cause algorithms that are classifying them to have increased error. There is a need for algorithms that can adapt to these changes. Genetic programming is one such algorithm that can adapt to streaming data however its use in this area is somewhat unexplored. It is hoped that because genetic programming is a population...
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