Studies in Big Data: Methods and Applications

Sayed-Mouchaweh, Moamar

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.
  

Details

Published by: Springer

Publication Date: 2018-08-09

Format: Hardcover

ISBN-13: 9783319898025

DOI: 10.1007/978-3-319-89803-2

Dimensions: 235cm x155cm

Pages: 317