Learning Data Streams Evolving (19 results)

Hardcover. Condition: Very Good. 1. Auflage. unread, with a mimimum of shelfwear.

Condition: New. In.

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 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.

Buch. 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 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.

Condition: New.

Hardcover. Condition: Brand New. 328 pages. 9.25x6.10x1.02 inches. In Stock.

Buch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch.

Taschenbuch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch.

Paperback. Condition: New. New. book.

Hardcover. Condition: Like New. Like New. book.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Incremental Learning Algorithms for Evolving Data Streams presents a timely exploration of the challenges and opportunities presented by evolving data streams. By examining the technical and theoretical foundations of incremental learning algorithms, the book provides a comprehensive understanding of the complexities involved in processing and analyzing dynamic data. The author's in-depth analysis of incremental learning algorithms and their applications in various fields offers a valuable resource for researchers, engineers, and practitioners seeking to develop innovative solutions for real-time data analysis and decision-making. Through a series of case studies and real-world examples, the book demonstrates the potential of incremental learning algorithms to support the development of intelligent systems and enhance our understanding of complex data streams. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The ever-changing nature of data streams requires continuous learning models that can adapt and evolve in real-time. Continuous Learning Models for Evolving Data Streams offers a comprehensive guide to leveraging continuous learning models to stay ahead of the curve. By exploring the intersection of data science and machine learning, this book provides readers with a deep understanding of the tools and techniques necessary to create continuous learning models that can adapt to changing data streams. From online learning to transfer learning, Continuous Learning Models for Evolving Data Streams is an essential resource for anyone seeking to harness the power of continuous learning. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. This book explores the rapidly evolving field of incremental learning algorithms for evolving data streams, where AI is being used to develop more efficient and effective learning systems that can adapt to changing data distributions. By examining the latest advancements in incremental learning, the author reveals how AI can be used to develop more robust and scalable learning systems, capable of handling high-volume and high-velocity data streams. With a focus on the key technologies and techniques required to develop effective incremental learning algorithms, this book provides a comprehensive overview of the potential applications of AI in data-intensive applications. From real-time anomaly detection to predictive maintenance, this book offers a fascinating glimpse into the future of incremental learning. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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.

Buch. 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.

Gebunden. 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 between methods t.

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 between methods t.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.