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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...
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| Format: | e-Book |
| Language: | English |
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Cham :
Springer International Publishing :
2016.
Imprint: Springer, |
| Edition: | 1st ed. 2016. |
| Series: | SpringerBriefs in Applied Sciences and Technology,
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| Online Access: | Full-text access |
Table of Contents:
- Introduction to learning
- Learning in dynamic environment
- Handling concept drift
- Summary and final comments.