Learning from Data Streams in Dynamic Environments

1. Auflage 2016
ISBN: 978-3-319-25665-8
Verlag: Springer International Publishing

Buch, Englisch, 75 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1416 g

Reihe: SpringerBriefs in Applied Sciences and Technology

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.

Zielgruppe

Research

Autoren/Hrsg.

Sayed-Mouchaweh, Moamar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Introduction to learning.- Learning in dynamic environment.- Handling concept drift.- Summary and final comments.

Über Autor(innen)

Moamar Sayed-Mouchaweh is a Professor at High National Engineering School of Mines “Ecole Nationale Supérieure des Mines de Douai”, Computer Science and Automatic Labs, Douai-France