Learning from Data Streams in Evolving Environments: Methods and Applications (Studies in Big Data)
- 出版商: Springer
- 出版日期: 2018-08-09
- 售價: $4,370
- 貴賓價: 9.5 折 $4,152
- 語言: 英文
- 頁數: 317
- 裝訂: Hardcover
- ISBN: 3319898027
- ISBN-13: 9783319898025
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相關分類:
大數據 Big-data
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相關主題
商品描述
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.