Learning from Data Streams in Evolving Environments: Methods and Applications by Moamar Sayed-Mouchaweh
English | PDF,EPUB | 2018 (2019 Edition) | 320 Pages | ISBN : 3319898027 | 44.69 MB
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.
Provides multiple examples to facilitate the understanding data streams in non-stationary 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.My Friends beleive Me Without You And Your Support We Can’t Continue
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