What is it about?
Data Stream occurs continuously and fast. Many incremental learners are intended to deal with this problem. This article will help you to design a classifier for evolving data streams using Neural Network. This classifier is updated using rough set theory and holoentropy. We have evaluated performance using Accuracy, Precision, Recall, Computational time.
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Why is it important?
This article will help you to design a classifier for evolving data streams using Neural Network. This classifier is updated using rough set theory and holoentropy. We have evaluated performance using Accuracy, Precision, Recall, Computational time.
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This page is a summary of: HRNeuro-fuzzy: Adapting neuro-fuzzy classifier for recurring concept drift of evolving data streams using rough set theory and holoentropy, Journal of King Saud University - Computer and Information Sciences, November 2016, Elsevier,
DOI: 10.1016/j.jksuci.2016.11.005.
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