Learning from Data Streams in Evolving Environments: Methods and Applications (Studies in Big Data #41)
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Learning from Data Streams in Evolving Environments
This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field.
- Provides multiple examples to facilitate the understanding data streams in non-stationary environments;
- Presents several application cases to show how the methods solve different real world problems;
- Discusses the links between methods to help stimulate new research and application directions.
The book, Learning from Data Streams in Evolving Environments: Methods and Applications (Studies in Big Data #41) [Bulk, Wholesale, Quantity] ISBN#9783030078621 in Paperback by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer International Publishing
- Format
- Paperback
- Published
- Dec 14, 2018
- ISBN-13
- 9783030078621
- Pages
- 317
- Printing
- Printed on demand
Learning from Data Streams in Evolving Environments in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $96.79 | 12% off list |
| 50 – 99 | $95.69 | 13% off list |
| 100+ | $94.59 | 14% off list |
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