Learning From Data Streams
Download Learning From Data Streams full books in PDF, epub, and Kindle. Read online free Learning From Data Streams ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Learning from Data Streams in Evolving Environments
Author | : Moamar Sayed-Mouchaweh |
Publisher | : Springer |
Total Pages | : 320 |
Release | : 2018-07-28 |
Genre | : Technology & Engineering |
ISBN | : 3319898035 |
Download Learning from Data Streams in Evolving Environments Book in PDF, Epub and Kindle
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.
Learning from Data Streams in Evolving Environments Related Books
Pages: 486
Pages: 320
Pages: 244
Pages: 82
Pages: 256