Learning from Data Streams in Evolving Environments: Methods and ApplicationsКНИГИ » ОС И БД
Название: Learning from Data Streams in Evolving Environments: Methods and Applications Автор: Moamar Sayed-Mouchaweh Издательство: Springer Год: 2018 Формат: EPUB Размер: 35 Мб Язык: английский / English
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, 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 learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field.
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Learning from Data Streams in Evolving Environments: Methods and Applications 
