Learning from Data Streams in Dynamic Environments
| Autor: | Moamar Sayed-Mouchaweh |
|---|---|
| EAN: | 9783319256672 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 10.12.2015 |
| Kategorie: | |
| Schlagworte: | Adaptive Modeling Data Streams Drift Monitoring and Handling Evolving Systems Incremental Learning Non-stationary Environments Online Learning |
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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.
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
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
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