Titlebook: Learning from Data Streams in Evolving Environments; Methods and Applicat Moamar Sayed-Mouchaweh Book 2019 Springer International Publishin

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Imen Khamassi,Moamar Sayed-Mouchaweh,Moez Hammami,Khaled Ghédira

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Fabíola S. F. Pereira,Shazia Tabassum,João Gama,Sandra de Amo,Gina M. B. Oliveira

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Nicolas Kourtellis,Gianmarco De Francisci Morales,Albert Bifet

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Book 2019ary environments;.Presents several application cases to show how the methods solve different real world problems;.Discusses the links between methods to help stimulate new research and application directions...

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Isah Abdullahi Lawalilities will most likely manifest themselves through a ., and may affect the overall materials’ resistance to deformation (flow stress). This size effect is distinguished from the length scales in plasticity, and .. For a few interacting crystals, the proposed model of slip-induced crystal plasticit

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2197-6503 show how the methods solve different real world problems.Di.This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, method

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Book 2019-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of lear