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Learning from Data Streams in Evolving Environments
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Bester Preis: Fr. 91.29 (€ 93.28)¹ (vom 15.09.2019)Learning from Data Streams in Evolving Environments (2018)
ISBN: 9783319898025 bzw. 3319898027, vermutlich in Englisch, Springer, neu.
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. gebundene Ausgabe, 09.08.2018.
Learning from Data Streams in Evolving Environments - Methods and Applications
ISBN: 9783319898032 bzw. 3319898035, vermutlich in Englisch, Springer International Publishing, neu, E-Book, elektronischer Download.
Learning from Data Streams in Evolving Environments: 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. Englisch, Ebook.
Learning from Data Streams in Evolving Environments
ISBN: 9783030078621 bzw. 3030078620, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
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. Soft cover.
Learning from Data Streams in Evolving Environments
ISBN: 9783319898025 bzw. 3319898027, vermutlich in Englisch, Springer Shop, gebundenes Buch, neu.
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. Hard cover.
Learning from Data Streams in Evolving Environments
ISBN: 9783319898032 bzw. 3319898035, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
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. eBook.
Learning from Data Streams in Evolving Environments - Methods and Applications
ISBN: 9783319898025 bzw. 3319898027, vermutlich in Englisch, Springer-Verlag Gmbh, gebundenes Buch, neu.
Learning from Data Streams in Evolving Environments: 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. Englisch, Buch.
| Learning from Data Streams in Evolving Environments | Springer | 1st ed. 2019 | 2018
ISBN: 9783319898025 bzw. 3319898027, in Deutsch, Springer, neu.
Learning from Data Streams in Evolving Environments
ISBN: 9783319898032 bzw. 3319898035, vermutlich in Englisch, Springer-Verlag GmbH, Taschenbuch, neu.