Learning from Data Streams in Evolving Environments

Language: English

Published by Springer International Publishing Aug 2018, 2018

3319898027 / 9783319898025

Series: Book 39 of 95 - Studies in Big Data

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 328 pp. Englisch.

Seller Inventory # 9783319898025

Title
Learning from Data Streams in Evolving Environments
Author
Moamar Sayed-Mouchaweh
Publisher
Springer International Publishing Aug 2018
Publication year
2018
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319898027
ISBN 13
9783319898025
Item weight
658 grams
Dimensions
241x160x24 mm
Series
Book 39 of 95: Studies in Big Data

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 26.71US$ 26.71
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BuchWeltWeit Ludwig Meier e.K.

Germany