Learning from Data Streams in Dynamic Environments
Published on 10. December 2015
VIII, 75 pages
978-3-319-25667-2 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 75 p. 44 illus., 43 illus. in color.
File size
3,54 MB
ISBN-13
978-3-319-25667-2 (9783319256672)
DOI
10.1007/978-3-319-25667-2
Schweitzer Classification
Other editions
Additional editions
Moamar Sayed-Mouchaweh
Learning from Data Streams in Dynamic Environments
Book
12/2015
Springer
€53.49
Shipment within 10-15 days
Person
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
Content
Introduction to learning.- Learning in dynamic environment.- Handling concept drift.- Summary and final comments.
