Librería: SpringBooks, Berlin, Alemania
Original o primera edición
EUR 33,25
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Very Good. 1. Auflage. unread, with a mimimum of shelfwear.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 114,24
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 116,58
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 123,37
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 113,71
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 113,70
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 127,60
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 145,19
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Softcover reprint of the original 1st ed. 2019 edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 145,81
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 153,12
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 328 pages. 9.25x6.10x1.02 inches. In Stock.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3030078620 ISBN 13: 9783030078621
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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 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.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319898027 ISBN 13: 9783319898025
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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 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.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 163,21
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 232,98
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Aug 2018, 2018
ISBN 10: 3319898027 ISBN 13: 9783319898025
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing Dez 2018, 2018
ISBN 10: 3030078620 ISBN 13: 9783030078621
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3030078620 ISBN 13: 9783030078621
Librería: moluna, Greven, Alemania
EUR 92,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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 between methods t.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319898027 ISBN 13: 9783319898025
Librería: moluna, Greven, Alemania
EUR 92,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: 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 between methods t.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 147,85
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 147,99
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 149,96
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 150,23
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Springer, Springer Dez 2018, 2018
ISBN 10: 3030078620 ISBN 13: 9783030078621
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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, 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Aug 2018, 2018
ISBN 10: 3319898027 ISBN 13: 9783319898025
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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, 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.