Learning from Data Streams in Evolving Environments Methods and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Sayed-Mouchaweh, Moamar (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Big Data, 41
• Subjects: Electrical engineering.; Quality control.; Reliability.; Industrial safety.; Data mining.; Control engineering.; Communications Engineering, Networks.; Quality Control, Reliability, Safety and Risk.; Data Mining and Knowledge Discovery.; Control and Systems Theory.

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 interpr...