Genetic Programming Approach for Nonstationary Data Analytics
Nonstationary data with concept drift occurring is usually made up of different underlying data generating processes. Therefore, if the knowledge of the existence of different segments in the dataset is not taken into consideration, then the induced predictive model is distorted by the past existing...
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| Language: | en |
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University of Pretoria
2021
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| Online Access: | http://hdl.handle.net/2263/79386 Kuranga, C 2021, Genetic Programming Approach for Nonstationary Data Analytics, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/79386> |