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Learning from data streams in dynamic environments

Author: Moamar Sayed-Mouchaweh
Publisher: Cham : Springer, ©2016.
Series: SpringerBriefs in applied sciences and technology
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Moamar Sayed-Mouchaweh
ISBN: 9783319256672 331925667X
OCLC Number: 932593547
Description: 1 online resource (viii, 75 pages) : illustrations (some color).
Contents: Introduction to learning --
Learning in dynamic environment --
Handling concept drift --
Summary and final comments.
Series Title: SpringerBriefs in applied sciences and technology
Responsibility: Moamar Sayed-Mouchaweh.

Abstract:

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  Read more...

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