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Learning from Data Streams in Dynamic Environments

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.

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Detail Information
Series Title
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Call Number
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Publisher
Cham : .,
Collation
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Language
English
ISBN/ISSN
978-3-319-25667-2
Classification
NONE
Content Type
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Media Type
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Carrier Type
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Edition
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Subject(s)
Communications Engineering, Networks
Specific Detail Info
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Statement of Responsibility
Other Information
Cataloger
Kholif Basri
Source
https://link.springer.com/book/10.1007/978-3-319-25667-2
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