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Learning from Data Streams in Dynamic Environments by Moamar Sayed-Mouchaweh
Learning from Data Streams in Dynamic Environments by Moamar Sayed-Mouchaweh
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Learning from Data Streams in Dynamic Environments

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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.

Author Biography:

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
Release date NZ
December 16th, 2015
Audience
  • Professional & Vocational
Edition
1st ed. 2016
Illustrations
43 Illustrations, color; 1 Illustrations, black and white; VIII, 75 p. 44 illus., 43 illus. in color.
Pages
75
Dimensions
155x235x4
ISBN-13
9783319256658
Product ID
24008645

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