9783030078621 - Learning from Data Streams in Evolving Environments: Methods and Applications (studies in Big Data, 41) (10 results)
Language: English
Published by Springer 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. Softcover reprint of the original 1st ed. 2019 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Learning from Data Streams in Evolving Environments | Methods and Applications | Moamar Sayed-Mouchaweh | Taschenbuch | Studies in Big Data | viii | Englisch | 2018 | Springer | EAN 9783030078621 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[d…ot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer International Publishing, Springer International Publishing 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 too…ls 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.
Language: English
Published by Springer 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
- Print on Demand
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer International Publishing Dez 2018 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. 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.
Language: English
Published by Springer International Publishing 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides multiple examples to facilitate the understanding data streams in non-stationary environmentsPresents several application cases to show how the methods solve different real world problemsDiscusses the links b…etween methods t.
Language: English
Published by Springer 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand.
Language: English
Published by Springer 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND.
Language: English
Published by Springer, Springer Dez 2018 2018
Series: Studies in Big Data, Book 39 of 95. Book 39 of 95 - Studies in Big Data
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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, met…hods 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.
