Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning from Data Streams in Evolving Environments: Methods and Applications

Learning from Data Streams in Evolving Environments: Methods and Applications

Sayed-Mouchaweh, Moamar

Hardcover

Series: Studies in Big Data, Book 41

Technology & EngineeringDatabases

ISBN10: 3319898027
ISBN13: 9783319898025
Publisher: Springer Nature
Published: Aug 9 2018
Pages: 317
Weight: 1.40
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English

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.

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